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ORCIDMarco Pavone 0001
Person information
- affiliation: Stanford University, USAjournals/corr/abs-2303-12153
Other persons with the same name
- Marco Pavone — disambiguation page
- Marco Pavone 0002
![[0000-0002-8674-5841]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8674-5841")
— Università degli Studi di Palermo, Palermo, Italy
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2020 – today
- 2024
[j71]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part III. Computer 57(3): 22-24 (2024)- [j70]Stefan Jorgensen, Marco Pavone:
The matroid team surviving orienteers problem and its variants: Constrained routing of heterogeneous teams with risky traversal. Int. J. Robotics Res. 43(1): 34-52 (2024) - [j69]John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1513-1529 (2024) - [j68]Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone:
Interactive Joint Planning for Autonomous Vehicles. IEEE Robotics Autom. Lett. 9(2): 987-994 (2024) - [j67]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Risk-Averse Trajectory Optimization via Sample Average Approximation. IEEE Robotics Autom. Lett. 9(2): 1500-1507 (2024) - [j66]Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
Locomotion as manipulation with ReachBot. Sci. Robotics 9(89) (2024) - [j65]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms. SIAM J. Optim. 34(2): 1455-1489 (2024) - [j64]Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency Meets Equity in Congestion Pricing and Revenue Refunding Schemes. IEEE Trans. Control. Netw. Syst. 11(2): 1127-1138 (2024) - [c204]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c203]Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CPAIOR (1) 2024: 109-126 - [c202]Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll:
Learning for CasADi: Data-driven models in numerical optimization. L4DC 2024: 541-553 - [i241]Christopher Agia, Guillem Casadesus Vila, Saptarshi Bandyopadhyay, David S. Bayard, Kar-Ming Cheung, Charles H. Lee, Eric Wood, Ian Aenishanslin, Steven Ardito, Lorraine M. Fesq, Marco Pavone, Issa A. D. Nesnas:
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators. CoRR abs/2401.11371 (2024) - [i240]Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CoRR abs/2401.12135 (2024) - [i239]Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone:
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. CoRR abs/2402.02769 (2024) - [i238]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CoRR abs/2402.05932 (2024) - [i237]David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli:
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. CoRR abs/2402.10255 (2024) - [i236]Devansh Jalota, Michael Ostrovsky, Marco Pavone:
When Simple is Near-Optimal in Security Games. CoRR abs/2402.11209 (2024) - [i235]Devansh Jalota, Matthew Tsao, Marco Pavone:
Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs. CoRR abs/2402.16162 (2024) - [i234]Somrita Banerjee, Edward Balaban, Mark Shirley, Kevin Bradner, Marco Pavone:
Contingency Planning Using Bi-level Markov Decision Processes for Space Missions. CoRR abs/2402.16342 (2024) - [i233]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Binding. CoRR abs/2402.17077 (2024) - [i232]Lucas Fuentes Valenzuela, Robin A. Brown, Marco Pavone:
Decentralized Implicit Differentiation. CoRR abs/2403.01260 (2024) - [i231]Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dörfler:
To Spend or to Gain: Online Learning in Repeated Karma Auctions. CoRR abs/2403.04057 (2024) - [i230]Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik, Rita Cucchiara, Marco Pavone:
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. CoRR abs/2403.07076 (2024) - [i229]Daniel Morton, Mark R. Cutkosky, Marco Pavone:
Task-Driven Manipulation with Reconfigurable Parallel Robots. CoRR abs/2403.10768 (2024) - [i228]Chih-Yuan Chiu, Devansh Jalota, Marco Pavone:
Credit vs. Discount-Based Congestion Pricing: A Comparison Study. CoRR abs/2403.13923 (2024) - [i227]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CoRR abs/2403.16439 (2024) - [i226]Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang:
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR abs/2403.20309 (2024) - [i225]Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). CoRR abs/2404.01550 (2024) - [i224]Asad Ali Shahid, Yashraj S. Narang, Vincenzo Petrone, Enrico Ferrentino, Ankur Handa, Dieter Fox, Marco Pavone, Loris Roveda:
Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation. CoRR abs/2404.03336 (2024) - [i223]Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone:
Language-Image Models with 3D Understanding. CoRR abs/2405.03685 (2024) - [i222]Tony G. Chen, Julia Di, Stephanie Newdick, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog. CoRR abs/2405.15005 (2024) - [i221]Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger:
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR abs/2405.16034 (2024) - [i220]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR abs/2405.17187 (2024) - [i219]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. CoRR abs/2406.01814 (2024) - [i218]Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao Frank Yang:
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. CoRR abs/2406.10789 (2024) - [i217]Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus:
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR abs/2406.12095 (2024) - [i216]Julia Di, Sara Cuevas-Quinones, Stephanie Newdick, Tony G. Chen, Marco Pavone, Mathieu G. A. Lapôtre, Mark R. Cutkosky:
Martian Exploration of Lava Tubes (MELT) with ReachBot: Scientific Investigation and Concept of Operations. CoRR abs/2406.13857 (2024) - [i215]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR abs/2406.15349 (2024) - 2023
- [j63]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing fairness and efficiency in traffic routing via interpolated traffic assignment. Auton. Agents Multi Agent Syst. 37(2): 32 (2023) - [j62]Manabu Nakanoya, Sai Shankar Narasimhan, Sharachchandra Bhat, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Sandeep Chinchali, Marco Pavone:
Co-design of communication and machine inference for cloud robotics. Auton. Robots 47(5): 579-594 (2023) - [j61]Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa A. D. Nesnas, Marco Pavone:
Semantic anomaly detection with large language models. Auton. Robots 47(8): 1035-1055 (2023) - [j60]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: from natural language instructions to feasible plans. Auton. Robots 47(8): 1345-1365 (2023) - [j59]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part 1. Computer 56(2): 14-18 (2023) - [j58]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part II. Computer 56(5): 13-16 (2023) - [j57]Devansh Jalota, Marco Pavone, Qi Qi, Yinyu Ye:
Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms. Games Econ. Behav. 141: 223-260 (2023) - [j56]Karen Leung, Nikos Aréchiga, Marco Pavone:
Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods. Int. J. Robotics Res. 42(6): 356-370 (2023) - [j55]Sumeet Singh, Benoit Landry, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone:
Robust feedback motion planning via contraction theory. Int. J. Robotics Res. 42(9): 655-688 (2023) - [j54]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Control-oriented meta-learning. Int. J. Robotics Res. 42(10): 777-797 (2023) - [j53]Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. INFORMS J. Comput. 35(3): 560-577 (2023) - [j52]Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8(4): 2397-2404 (2023) - [j51]Riccardo Bonalli, Thomas Lew, Marco Pavone:
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. IEEE Trans. Autom. Control. 68(8): 4570-4585 (2023) - [j50]Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions. IEEE Trans. Netw. Sci. Eng. 10(2): 827-844 (2023) - [j49]Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin:
Near-Optimal Multi-Robot Motion Planning with Finite Sampling. IEEE Trans. Robotics 39(5): 3422-3436 (2023) - [c201]Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone:
Online Learning for Traffic Routing under Unknown Preferences. AISTATS 2023: 3210-3229 - [c200]Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone:
Learning Autonomous Vehicle Safety Concepts from Demonstrations. ACC 2023: 3193-3200 - [c199]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Exact Characterization of the Convex Hulls of Reachable Sets. CDC 2023: 52-59 - [c198]Devansh Jalota, Jessica Lazarus, Alexandre M. Bayen, Marco Pavone:
Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design. CDC 2023: 4124-4129 - [c197]John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone:
Robust Nonlinear Reduced-Order Model Predictive Control. CDC 2023: 4798-4805 - [c196]Rohan Sinha, Edward Schmerling, Marco Pavone:
Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CDC 2023: 6533-6540 - [c195]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CDC 2023: 7475-7482 - [c194]Shucheng Kang, Yuxiao Chen, Heng Yang, Marco Pavone:
Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation. CDC 2023: 8215-8222 - [c193]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRL 2023: 144-177 - [c192]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRL 2023: 2714-2752 - [c191]Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRL 2023: 2807-2820 - [c190]Jiawei Yang, Marco Pavone, Yue Wang:
FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization. CVPR 2023: 8254-8263 - [c189]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR 2023 - [c188]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML 2023: 8053-8066 - [c187]Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira:
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. ICML 2023: 10587-10610 - [c186]Spencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone:
Learning Control-Oriented Dynamical Structure from Data. ICML 2023: 29051-29062 - [c185]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA 2023: 1507-1513 - [c184]John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone:
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. ICRA 2023: 2627-2633 - [c183]Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
BITS: Bi-level Imitation for Traffic Simulation. ICRA 2023: 2929-2936 - [c182]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA 2023: 3560-3566 - [c181]Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA 2023: 5558-5565 - [c180]Boris Ivanovic, James Harrison, Marco Pavone:
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. ICRA 2023: 7786-7793 - [c179]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. ICRA 2023: 7902-7908 - [c178]Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone:
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. ICRA 2023: 9757-9763 - [c177]Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Motion Planning for a Climbing Robot with Stochastic Grasps. ICRA 2023: 11838-11844 - [c176]Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime F. Fisac, Marco Pavone:
Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility. IROS 2023: 5918-5925 - [c175]Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone:
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. IV 2023: 1-8 - [c174]Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. L4DC 2023: 1284-1296 - [c173]Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone:
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. NeurIPS 2023 - [c172]Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone:
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles. Robotics: Science and Systems 2023 - [i214]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. CoRR abs/2301.11902 (2023) - [i213]Spencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone:
Learning Control-Oriented Dynamical Structure from Data. CoRR abs/2302.02529 (2023) - [i212]Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone:
Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications. CoRR abs/2302.13970 (2023) - [i211]Lucas Fuentes Valenzuela, Anthony Degleris, Abbas El Gamal, Marco Pavone, Ram Rajagopal:
Dynamic locational marginal emissions via implicit differentiation. CoRR abs/2302.14282 (2023) - [i210]Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone:
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. CoRR abs/2303.03504 (2023) - [i209]Jiawei Yang, Marco Pavone, Yue Wang:
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization. CoRR abs/2303.07418 (2023) - [i208]Shucheng Kang, Yuxiao Chen, Heng Yang, Marco Pavone:
Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation. CoRR abs/2303.10081 (2023) - [i207]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: From Natural Language Instructions to Feasible Plans. CoRR abs/2303.12153 (2023) - [i206]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Exact Characterization of the Convex Hulls of Reachable Sets. CoRR abs/2303.17674 (2023) - [i205]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i204]Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone:
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles. CoRR abs/2305.01870 (2023) - [i203]Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira:
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. CoRR abs/2305.09129 (2023) - [i202]Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa Nesnas, Marco Pavone:
Semantic Anomaly Detection with Large Language Models. CoRR abs/2305.11307 (2023) - [i201]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR abs/2305.11340 (2023) - [i200]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRR abs/2306.06344 (2023) - [i199]Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRR abs/2307.01408 (2023) - [i198]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Risk-Averse Trajectory Optimization via Sample Average Approximation. CoRR abs/2307.03167 (2023) - [i197]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRR abs/2307.07947 (2023) - [i196]Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone:
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. CoRR abs/2307.13924 (2023) - [i195]Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone:
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. CoRR abs/2308.06337 (2023) - [i194]Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone:
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. CoRR abs/2309.00709 (2023) - [i193]John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone:
Robust Nonlinear Reduced-Order Model Predictive Control. CoRR abs/2309.05746 (2023) - [i192]Rohan Sinha, Edward Schmerling, Marco Pavone:
Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CoRR abs/2309.08603 (2023) - [i191]Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv:
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. CoRR abs/2310.05885 (2023) - [i190]Tommaso Guffanti, Daniele Gammelli, Simone D'Amico, Marco Pavone:
Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous. CoRR abs/2310.13831 (2023) - [i189]Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone:
Interactive Motion Planning for Autonomous Vehicles with Joint Optimization. CoRR abs/2310.18301 (2023) - [i188]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR abs/2311.02077 (2023) - [i187]Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone:
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. CoRR abs/2311.04079 (2023) - [i186]Aaryan Singhal, Daniele Gammelli, Justin Luke, Karthik Gopalakrishnan, Dominik Helmreich, Marco Pavone:
Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning. CoRR abs/2311.05780 (2023) - [i185]Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang:
A Language Agent for Autonomous Driving. CoRR abs/2311.10813 (2023) - [i184]Yuxiao Chen, Sander Tonkens, Marco Pavone:
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent. CoRR abs/2311.18307 (2023) - [i183]Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao:
Dolphins: Multimodal Language Model for Driving. CoRR abs/2312.00438 (2023) - [i182]Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar:
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. CoRR abs/2312.04658 (2023) - [i181]Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll:
Learning for CasADi: Data-driven Models in Numerical Optimization. CoRR abs/2312.05873 (2023) - [i180]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR abs/2312.13303 (2023) - 2022
- [j48]Gioele Zardini, Nicolas Lanzetti, Marco Pavone, Emilio Frazzoli:
Analysis and Control of Autonomous Mobility-on-Demand Systems. Annu. Rev. Control. Robotics Auton. Syst. 5: 633-658 (2022) - [j47]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matt Wu Tsao:
Technical Note - Online Hypergraph Matching with Delays. Oper. Res. 70(4): 2194-2212 (2022) - [j46]Maximilian Schiffer, Nils Boysen, Patrick S. Klein, Gilbert Laporte, Marco Pavone:
Optimal Picking Policies in E-Commerce Warehouses. Manag. Sci. 68(10): 7497-7517 (2022) - [j45]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. 7(2): 1447-1454 (2022) - [j44]Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan:
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. IEEE Robotics Autom. Lett. 7(2): 5528-5535 (2022) - [j43]Mahmoud Selim, Amr Alanwar, Shreyas Kousik, Grace Xingxin Gao, Marco Pavone, Karl Henrik Johansson:
Safe Reinforcement Learning Using Black-Box Reachability Analysis. IEEE Robotics Autom. Lett. 7(4): 10665-10672 (2022) - [j42]Tony G. Chen, Abhishek Cauligi, Srinivasan A. Suresh, Marco Pavone, Mark R. Cutkosky:
Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space. IEEE Robotics Autom. Mag. 29(3): 24-33 (2022) - [j41]Joseph Lorenzetti, Andrew McClellan, Charbel Farhat, Marco Pavone:
Linear Reduced-Order Model Predictive Control. IEEE Trans. Autom. Control. 67(11): 5980-5995 (2022) - [j40]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. 67(12): 6521-6536 (2022) - [j39]Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. IEEE Trans. Control. Netw. Syst. 9(1): 50-61 (2022) - [j38]Salomón Wollenstein-Betech, Mauro Salazar, Arian Houshmand, Marco Pavone, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 23(8): 12263-12275 (2022) - [j37]Thomas Lew, Apoorva Sharma, James Harrison, Andrew Bylard, Marco Pavone:
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework. IEEE Trans. Robotics 38(5): 2888-2907 (2022) - [c171]Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone:
Second-Order Sensitivity Analysis for Bilevel Optimization. AISTATS 2022: 9166-9181 - [c170]Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone:
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. AISTATS 2022: 9334-9355 - [c169]Karen Leung, Marco Pavone:
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. ACC 2022: 178-185 - [c168]Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. ACC 2022: 906-913 - [c167]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. AAMAS 2022: 272-280 - [c166]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. AAMAS 2022: 678-686 - [c165]Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone:
Using Spectral Submanifolds for Nonlinear Periodic Control. CDC 2022: 6548-6555 - [c164]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRL 2022: 128-137 - [c163]Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone:
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. CoRL 2022: 1959-1969 - [c162]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL 2022: 2170-2180 - [c161]Tim Salzmann, Marco Pavone, Markus Ryll:
Motron: Multimodal Probabilistic Human Motion Forecasting. CVPR 2022: 6447-6456 - [c160]Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone:
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. CVPR 2022: 6563-6572 - [c159]Yuxiao Chen, Boris Ivanovic, Marco Pavone:
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. CVPR 2022: 17082-17091 - [c158]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. ECCV (5) 2022: 36-52 - [c157]Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. ECCV Workshops (1) 2022: 127-142 - [c156]Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone:
Propagating State Uncertainty Through Trajectory Forecasting. ICRA 2022: 2351-2358 - [c155]Tony G. Chen, Becky Miller, Crystal Winston, Stephanie Schneider, Andrew Bylard, Marco Pavone, Mark R. Cutkosky:
ReachBot: A Small Robot with Exceptional Reach for Rough Terrain. ICRA 2022: 4517-4523 - [c154]Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone:
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS 2022: 12196-12203 - [c153]Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone:
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. ISRR 2022: 538-554 - [c152]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private Location Sharing for Decentralized Routing Services. ITSC 2022: 2479-2486 - [c151]Boris Ivanovic, Marco Pavone:
Injecting Planning-Awareness into Prediction and Detection Evaluation. IV 2022: 821-828 - [c150]Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone:
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. IV 2022: 1201-1210 - [c149]Xinshuo Weng, Boris Ivanovic, Marco Pavone:
MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation. IV 2022: 1218-1225 - [c148]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. KDD 2022: 2913-2923 - [c147]Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone:
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. L4DC 2022: 790-802 - [c146]Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone:
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. L4DC 2022: 1086-1099 - [c145]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c144]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR 2022: 149-169 - [i179]Karen Leung, Marco Pavone:
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. CoRR abs/2202.01997 (2022) - [i178]Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi, Marco Pavone:
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. CoRR abs/2202.04193 (2022) - [i177]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR abs/2202.07147 (2022) - [i176]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private and Decentralized Location Sharing for Congestion-Aware Routing. CoRR abs/2202.13305 (2022) - [i175]Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone:
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. CoRR abs/2203.03034 (2022) - [i174]Tim Salzmann, Marco Pavone, Markus Ryll:
Motron: Multimodal Probabilistic Human Motion Forecasting. CoRR abs/2203.04132 (2022) - [i173]Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. CoRR abs/2203.07747 (2022) - [i172]Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone:
Online Learning for Traffic Routing under Unknown Preferences. CoRR abs/2203.17150 (2022) - [i171]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Control-oriented meta-learning. CoRR abs/2204.06716 (2022) - [i170]Mahmoud Selim, Amr Alanwar, Shreyas Kousik, Grace Xingxin Gao, Marco Pavone, Karl Henrik Johansson:
Safe Reinforcement Learning Using Black-Box Reachability Analysis. CoRR abs/2204.07417 (2022) - [i169]Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone:
Second-Order Sensitivity Analysis for Bilevel Optimization. CoRR abs/2205.02329 (2022) - [i168]Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone:
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. CoRR abs/2205.07728 (2022) - [i167]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Sample Average Approximation for Stochastic Programming with Equality Constraints. CoRR abs/2206.09963 (2022) - [i166]Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone:
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. CoRR abs/2206.12471 (2022) - [i165]Yuxiao Chen, Boris Ivanovic, Marco Pavone:
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. CoRR abs/2206.13387 (2022) - [i164]Gadiel Sznaier Camps, Robert Dyro, Marco Pavone, Mac Schwager:
Learning Deep SDF Maps Online for Robot Navigation and Exploration. CoRR abs/2207.10782 (2022) - [i163]Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone:
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. CoRR abs/2207.12380 (2022) - [i162]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
Copositive programming for mixed-binary quadratic optimization via Ising solvers. CoRR abs/2207.13630 (2022) - [i161]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRR abs/2208.00094 (2022) - [i160]Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
BITS: Bi-level Imitation for Traffic Simulation. CoRR abs/2208.12403 (2022) - [i159]John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone:
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. CoRR abs/2209.05712 (2022) - [i158]Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone:
Using Spectral Submanifolds for Nonlinear Periodic Control. CoRR abs/2209.06573 (2022) - [i157]Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. CoRR abs/2209.06855 (2022) - [i156]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. CoRR abs/2209.08744 (2022) - [i155]Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Motion Planning for a Climbing Robot with Stochastic Grasps. CoRR abs/2209.10687 (2022) - [i154]Boris Ivanovic, James Harrison, Marco Pavone:
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. CoRR abs/2209.11820 (2022) - [i153]Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone:
Learning Autonomous Vehicle Safety Concepts from Demonstrations. CoRR abs/2210.02761 (2022) - [i152]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR abs/2210.05519 (2022) - [i151]Stephanie Newdick, Tony G. Chen, Benjamin J. Hockman, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission. CoRR abs/2210.11534 (2022) - [i150]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CoRR abs/2210.14489 (2022) - [i149]Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. CoRR abs/2210.14584 (2022) - [i148]Devansh Jalota, Jessica Lazarus, Alexandre M. Bayen, Marco Pavone:
Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design. CoRR abs/2210.15907 (2022) - [i147]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR abs/2210.17366 (2022) - [i146]Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone:
Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR abs/2211.04878 (2022) - [i145]Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. CoRR abs/2211.09916 (2022) - [i144]Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control via Uncertainty Cancellation. CoRR abs/2212.01371 (2022) - [i143]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. CoRR abs/2212.03323 (2022) - [i142]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR abs/2212.06437 (2022) - [i141]Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR abs/2212.07313 (2022) - [i140]Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone:
A System-Level View on Out-of-Distribution Data in Robotics. CoRR abs/2212.14020 (2022) - 2021
- [j36]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network offloading policies for cloud robotics: a learning-based approach. Auton. Robots 45(7): 997-1012 (2021) - [j35]Sumeet Singh, Spencer M. Richards, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning stabilizable nonlinear dynamics with contraction-based regularization. Int. J. Robotics Res. 40(10-11) (2021) - [j34]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery using Transit Networks. J. Artif. Intell. Res. 70: 757-788 (2021) - [j33]Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone:
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. IEEE Robotics Autom. Lett. 6(1): 295-302 (2021) - [j32]Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder:
Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC. IEEE Robotics Autom. Lett. 6(4): 8623-8630 (2021) - [j31]Robin A. Brown, Federico Rossi, Kiril Solovey, Matthew Tsao, Michael T. Wolf, Marco Pavone:
On Local Computation for Network-Structured Convex Optimization in Multiagent Systems. IEEE Trans. Control. Netw. Syst. 8(2): 542-554 (2021) - [j30]Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Justin Luke, Emre Can Kara, Ram Rajagopal, Marco Pavone:
On the Interaction Between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach. IEEE Trans. Control. Netw. Syst. 8(3): 1163-1176 (2021) - [c143]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CDC 2021: 2996-3003 - [c142]Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes. EAAMO 2021: 9:1-9:11 - [c141]Andrew Bylard, Riccardo Bonalli, Marco Pavone:
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. ICRA 2021: 7464-7470 - [c140]Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi, Michael T. Wolf, Marco Pavone:
Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. ICRA 2021: 9117-9123 - [c139]Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin:
Near-Optimal Multi-Robot Motion Planning with Finite Sampling. ICRA 2021: 9190-9196 - [c138]Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. ICRA 2021: 9673-9679 - [c137]Sander Tonkens, Joseph Lorenzetti, Marco Pavone:
Soft Robot Optimal Control Via Reduced Order Finite Element Models. ICRA 2021: 12010-12016 - [c136]Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone:
Particle MPC for Uncertain and Learning-Based Control. IROS 2021: 7127-7134 - [c135]Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone:
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. ITSC 2021: 3340-3347 - [c134]Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems. ITSC 2021: 3570-3577 - [c133]Benoit Landry, Hongkai Dai, Marco Pavone:
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions. L4DC 2021: 1105-1117 - [c132]Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang:
Data Sharing and Compression for Cooperative Networked Control. NeurIPS 2021: 5947-5958 - [c131]Hongkai Dai, Benoit Landry, Lujie Yang, Marco Pavone, Russ Tedrake:
Lyapunov-stable neural-network control. Robotics: Science and Systems 2021 - [c130]Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone:
Co-Design of Communication and Machine Inference for Cloud Robotics. Robotics: Science and Systems 2021 - [c129]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems. Robotics: Science and Systems 2021 - [c128]Apoorva Sharma, Navid Azizan, Marco Pavone:
Sketching curvature for efficient out-of-distribution detection for deep neural networks. UAI 2021: 1958-1967 - [c127]Karen Leung, Nikos Aréchiga, Marco Pavone:
Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods. WAFR 2021: 432-449 - [i139]Andrew Bylard, Riccardo Bonalli, Marco Pavone:
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. CoRR abs/2101.01297 (2021) - [i138]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR abs/2101.12086 (2021) - [i137]Apoorva Sharma, Navid Azizan, Marco Pavone:
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks. CoRR abs/2102.12567 (2021) - [i136]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems. CoRR abs/2103.04490 (2021) - [i135]Federico Rossi, Saptarshi Bandyopadhyay, Michael T. Wolf, Marco Pavone:
Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas. CoRR abs/2103.11067 (2021) - [i134]Devansh Jalota, Kiril Solovey, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. CoRR abs/2104.00098 (2021) - [i133]Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone:
Particle MPC for Uncertain and Learning-Based Control. CoRR abs/2104.02213 (2021) - [i132]Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. CoRR abs/2104.07768 (2021) - [i131]Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. CoRR abs/2104.08261 (2021) - [i130]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CoRR abs/2104.11434 (2021) - [i129]Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone:
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. CoRR abs/2104.12446 (2021) - [i128]Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder:
Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC. CoRR abs/2104.14250 (2021) - [i127]Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk, Thomas Lew, Riccardo Bonalli, Marco Pavone, Behçet Açikmese:
Convex Optimization for Trajectory Generation. CoRR abs/2106.09125 (2021) - [i126]Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes. CoRR abs/2106.10407 (2021) - [i125]Devansh Jalota, Marco Pavone, Qi Qi, Yinyu Ye:
Fisher Markets with Linear Constraints: Equilibrium Properties and Efficient Distributed Algorithms. CoRR abs/2106.10412 (2021) - [i124]Gioele Zardini, Nicolas Lanzetti, Marco Pavone, Emilio Frazzoli:
Analysis and Control of Autonomous Mobility-on-Demand Systems: A Review. CoRR abs/2106.14827 (2021) - [i123]Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone:
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. CoRR abs/2107.00165 (2021) - [i122]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR abs/2107.08143 (2021) - [i121]Boris Ivanovic, Marco Pavone:
Rethinking Trajectory Forecasting Evaluation. CoRR abs/2107.10297 (2021) - [i120]John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. CoRR abs/2107.13682 (2021) - [i119]Andrea Bajcsy, Karen Leung, Edward Schmerling, Marco Pavone:
Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts. CoRR abs/2107.14412 (2021) - [i118]Sean Roelofs, Benoit Landry, Myra Kurosu Jalil, Adrian Martin, Saisneha Koppaka, Sindy K. Y. Tang, Marco Pavone:
Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments. CoRR abs/2108.11456 (2021) - [i117]Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky, Marco Pavone:
On the Interplay between Self-Driving Cars and Public Transportation. CoRR abs/2109.01627 (2021) - [i116]Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan:
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. CoRR abs/2109.04453 (2021) - [i115]Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Traffic Routing: Deterministic Limits and Data-driven Enhancements. CoRR abs/2109.08706 (2021) - [i114]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances using Conformal Prediction. CoRR abs/2109.14082 (2021) - [i113]Hongkai Dai, Benoit Landry, Lujie Yang, Marco Pavone, Russ Tedrake:
Lyapunov-stable neural-network control. CoRR abs/2109.14152 (2021) - [i112]Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang:
Data Sharing and Compression for Cooperative Networked Control. CoRR abs/2109.14675 (2021) - [i111]Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone:
Propagating State Uncertainty Through Trajectory Forecasting. CoRR abs/2110.03267 (2021) - [i110]Boris Ivanovic, Marco Pavone:
Injecting Planning-Awareness into Prediction and Detection Evaluation. CoRR abs/2110.03270 (2021) - [i109]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. CoRR abs/2110.08802 (2021) - [i108]Xinshuo Weng, Boris Ivanovic, Marco Pavone:
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation. CoRR abs/2110.09481 (2021) - [i107]Stephanie Schneider, Andrew Bylard, Tony G. Chen, Preston Wang, Mark R. Cutkosky, Marco Pavone:
ReachBot: A Small Robot for Large Mobile Manipulation Tasks. CoRR abs/2110.10829 (2021) - [i106]Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone:
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. CoRR abs/2111.06084 (2021) - [i105]Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali:
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving. CoRR abs/2112.00956 (2021) - [i104]Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone:
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. CoRR abs/2112.05745 (2021) - 2020
- [j29]Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions. Int. J. Robotics Res. 39(10-11) (2020) - [j28]Federico Rossi, Ramón Iglesias, Mahnoosh Alizadeh, Marco Pavone:
On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms. IEEE Trans. Control. Netw. Syst. 7(1): 384-397 (2020) - [j27]Mauro Salazar, Nicolas Lanzetti, Federico Rossi, Maximilian Schiffer, Marco Pavone:
Intermodal Autonomous Mobility-on-Demand. IEEE Trans. Intell. Transp. Syst. 21(9): 3946-3960 (2020) - [c126]Felix Boewing, Maximilian Schiffer, Mauro Salazar, Marco Pavone:
A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems. ACC 2020: 248-255 - [c125]Hongkai Dai, Benoit Landry, Marco Pavone, Russ Tedrake:
Counter-example guided synthesis of neural network Lyapunov functions for piecewise linear systems. CDC 2020: 1274-1281 - [c124]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CDC 2020: 1698-1705 - [c123]Joseph Lorenzetti, Marco Pavone:
Error Bounds for Reduced Order Model Predictive Control. CDC 2020: 2521-2528 - [c122]Thomas Lew, Marco Pavone:
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling. CoRL 2020: 2055-2070 - [c121]Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone:
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRL 2020: 2243-2256 - [c120]Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone:
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data. ECCV (18) 2020: 683-700 - [c119]Robin A. Brown, Federico Rossi, Kiril Solovey, Michael T. Wolf, Marco Pavone:
Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems. ECC 2020: 440-447 - [c118]Frans J. R. Verbruggen, Mauro Salazar, Marco Pavone, Theo Hofman:
Joint Design and Control of Electric Vehicle Propulsion Systems. ECC 2020: 1725-1731 - [c117]Joseph Lorenzetti, Marco Pavone:
A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme. ECC 2020: 1775-1782 - [c116]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization. ECC 2020: 1871-1878 - [c115]Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. ICRA 2020: 2189-2195 - [c114]Matthew Tsao, Kiril Solovey, Marco Pavone:
Sample Complexity of Probabilistic Roadmaps via ε-nets. ICRA 2020: 2196-2202 - [c113]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. ICRA 2020: 4543-4550 - [c112]Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone:
Map-Predictive Motion Planning in Unknown Environments. ICRA 2020: 8552-8558 - [c111]Xinrui Wang, Karen Leung, Marco Pavone:
Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions. IROS 2020: 6252-6259 - [c110]Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager:
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. IROS 2020: 11205-11212 - [c109]Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti:
Sampling Training Data for Continual Learning Between Robots and the Cloud. ISER 2020: 296-308 - [c108]Jonathan A. DeCastro, Karen Leung, Nikos Aréchiga, Marco Pavone:
Interpretable Policies from Formally-Specified Temporal Properties. ITSC 2020: 1-7 - [c107]Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. ITSC 2020: 1-7 - [c106]Gioele Zardini, Nicolas Lanzetti, Mauro Salazar, Andrea Censi, Emilio Frazzoli, Marco Pavone:
On the Co-Design of AV-Enabled Mobility Systems. ITSC 2020: 1-8 - [c105]James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone:
Continuous Meta-Learning without Tasks. NeurIPS 2020 - [c104]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. NeurIPS 2020 - [c103]Devansh Jalota, Marco Pavone, Qi Qi, Yinyu Ye:
Markets for Efficient Public Good Allocation with Social Distancing. WINE 2020: 102-116 - [c102]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matthew Tsao:
Online Hypergraph Matching with Delays. WINE 2020: 465 - [i103]Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone:
Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control. CoRR abs/2001.03093 (2020) - [i102]Andrea Tagliabue, Stephanie Schneider, Marco Pavone, Ali-akbar Agha-mohammadi:
Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan. CoRR abs/2002.00515 (2020) - [i101]Robin A. Brown, Federico Rossi, Kiril Solovey, Michael T. Wolf, Marco Pavone:
On Local Computation for Optimization in Multi-Agent Systems. CoRR abs/2002.12313 (2020) - [i100]Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. CoRR abs/2003.04335 (2020) - [i99]Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
On the Co-Design of AV-Enabled Mobility Systems. CoRR abs/2003.04739 (2020) - [i98]Ali-akbar Agha-mohammadi, Andrea Tagliabue, Stephanie Schneider, Benjamin Morrell, Marco Pavone, Jason Hofgartner, Issa A. D. Nesnas, Rashied B. Amini, Arash Kalantari, Alessandra Babuscia, Jonathan I. Lunine:
The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version). CoRR abs/2003.08293 (2020) - [i97]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR abs/2004.03736 (2020) - [i96]Devansh Jalota, Marco Pavone, Yinyu Ye:
Markets for Efficient Public Good Allocation. CoRR abs/2005.10765 (2020) - [i95]Xinrui Wang, Karen Leung, Marco Pavone:
Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions. CoRR abs/2008.00067 (2020) - [i94]Karen Leung, Nikos Aréchiga, Marco Pavone:
Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods. CoRR abs/2008.00097 (2020) - [i93]Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone:
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. CoRR abs/2008.03880 (2020) - [i92]Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems. CoRR abs/2008.08131 (2020) - [i91]Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions. CoRR abs/2008.08975 (2020) - [i90]Thomas Lew, Marco Pavone:
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling. CoRR abs/2008.10180 (2020) - [i89]Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone:
Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. CoRR abs/2008.11700 (2020) - [i88]Riccardo Bonalli, Thomas Lew, Marco Pavone:
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. CoRR abs/2009.05038 (2020) - [i87]Riccardo Bonalli, Thomas Lew, Marco Pavone:
Sequential Convex Programming For Non-Linear Stochastic Optimal Control. CoRR abs/2009.05182 (2020) - [i86]Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager:
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. CoRR abs/2009.05702 (2020) - [i85]Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone:
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRR abs/2009.07517 (2020) - [i84]Abhishek Cauligi, Tony G. Chen, Srinivasan A. Suresh, Michael Dille, Ruben Garcia Ruiz, Andres Mora Vargas, Marco Pavone, Mark R. Cutkosky:
Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot. CoRR abs/2009.09151 (2020) - [i83]Somrita Banerjee, James Harrison, P. Michael Furlong, Marco Pavone:
Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics. CoRR abs/2009.10191 (2020) - [i82]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matthew Tsao:
Online Hypergraph Matching with Delays. CoRR abs/2009.12022 (2020) - [i81]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. CoRR abs/2010.09164 (2020) - [i80]Sander Tonkens, Joseph Lorenzetti, Marco Pavone:
Soft Robot Optimal Control Via Reduced Order Finite Element Models. CoRR abs/2011.02092 (2020) - [i79]Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone:
Task-relevant Representation Learning for Networked Robotic Perception. CoRR abs/2011.03216 (2020) - [i78]Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi, Michael T. Wolf, Marco Pavone:
Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. CoRR abs/2011.03603 (2020) - [i77]Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin:
Near-Optimal Multi-Robot Motion Planning with Finite Sampling. CoRR abs/2011.08944 (2020) - [i76]Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. CoRR abs/2012.01027 (2020) - [i75]Joseph Lorenzetti, Andrew McClellan, Charbel Farhat, Marco Pavone:
Linear Reduced Order Model Predictive Control. CoRR abs/2012.03384 (2020) - [i74]Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions. CoRR abs/2012.03390 (2020) - [i73]Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti:
Sampling Training Data for Continual Learning Between Robots and the Cloud. CoRR abs/2012.06739 (2020)
2010 – 2019
- 2019
- [j26]Ramón Iglesias, Federico Rossi, Rick Zhang, Marco Pavone:
A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems. Int. J. Robotics Res. 38(2-3) (2019) - [j25]Sandeep P. Chinchali, Scott C. Livingston, Mo Chen, Marco Pavone:
Multi-objective optimal control for proactive decision making with temporal logic models. Int. J. Robotics Res. 38(12-13) (2019) - [j24]Brian Ichter, Marco Pavone:
Robot Motion Planning in Learned Latent Spaces. IEEE Robotics Autom. Lett. 4(3): 2407-2414 (2019) - [j23]Ross E. Allen, Marco Pavone:
A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance. Robotics Auton. Syst. 115: 174-193 (2019) - [j22]Sumeet Singh, Yinlam Chow, Anirudha Majumdar, Marco Pavone:
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Trans. Autom. Control. 64(7): 2905-2912 (2019) - [j21]Rick Zhang, Federico Rossi, Marco Pavone:
Analysis, Control, and Evaluation of Mobility-on-Demand Systems: A Queueing-Theoretical Approach. IEEE Trans. Control. Netw. Syst. 6(1): 115-126 (2019) - [c101]Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. ICAPS 2019: 410-418 - [c100]Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone:
Risk-Sensitive Generative Adversarial Imitation Learning. AISTATS 2019: 2154-2163 - [c99]Margaret P. Chapman, Jonathan Lacotte, Aviv Tamar, Donggun Lee, Kevin M. Smith, Victoria Cheng, Jaime F. Fisac, Susmit Jha, Marco Pavone, Claire J. Tomlin:
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. ACC 2019: 2958-2963 - [c98]Parastoo Abtahi, Benoit Landry, Jackie (Junrui) Yang, Marco Pavone, Sean Follmer, James A. Landay:
Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality. CHI 2019: 359 - [c97]Joseph Lorenzetti, Benoit Landry, Sumeet Singh, Marco Pavone:
Reduced Order Model Predictive Control For Setpoint Tracking. ECC 2019: 299-306 - [c96]Mauro Salazar, Matthew Tsao, Izabel Aguiar, Maximilian Schiffer, Marco Pavone:
A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems. ECC 2019: 3040-3046 - [c95]Boris Ivanovic, Marco Pavone:
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs. ICCV 2019: 2375-2384 - [c94]Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone:
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. ICRA 2019: 15-21 - [c93]Matthew Tsao, Dejan Milojevic, Claudio Ruch, Mauro Salazar, Emilio Frazzoli, Marco Pavone:
Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems. ICRA 2019: 6665-6671 - [c92]Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone:
GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. ICRA 2019: 6741-6747 - [c91]Benoit Landry, Joseph Lorenzetti, Zachary Manchester, Marco Pavone:
Bilevel Optimization for Planning Through Contact: A Semidirect Method. ISRR 2019: 789-804 - [c90]Mauro Salazar, Arian Houshmand, Christos G. Cassandras, Marco Pavone:
Optimal Routing and Energy Management Strategies for Plug-in Hybrid Electric Vehicles. ITSC 2019: 733-739 - [c89]Jannik Zgraggen, Matthew Tsao, Mauro Salazar, Maximilian Schiffer, Marco Pavone:
A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand. ITSC 2019: 1953-1960 - [c88]Karen Leung, Nikos Aréchiga, Marco Pavone:
Backpropagation for Parametric STL. IV 2019: 185-192 - [c87]Jonathan Lacotte, Mert Pilanci, Marco Pavone:
High-Dimensional Optimization in Adaptive Random Subspaces. NeurIPS 2019: 10846-10856 - [c86]Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone:
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. Robotics: Science and Systems 2019 - [c85]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach. Robotics: Science and Systems 2019 - [c84]Benoit Landry, Zachary Manchester, Marco Pavone:
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. Robotics: Science and Systems 2019 - [c83]Kiril Solovey, Mauro Salazar, Marco Pavone:
Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization. Robotics: Science and Systems 2019 - [d1]Federico Rossi, Ramón Iglesias, Mahnoosh Alizadeh, Marco Pavone:
StanfordASL/pamod 1.0.1. Zenodo, 2019
- [i72]Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. CoRR abs/1901.02577 (2019) - [i71]Benoit Landry, Zachary Manchester, Marco Pavone:
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. CoRR abs/1902.03319 (2019) - [i70]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: a Learning-based Approach. CoRR abs/1902.05703 (2019) - [i69]Margaret P. Chapman, Jonathan Lacotte, Aviv Tamar, Donggun Lee, Kevin M. Smith, Victoria Cheng, Jaime F. Fisac, Susmit Jha, Marco Pavone, Claire J. Tomlin:
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. CoRR abs/1902.11277 (2019) - [i68]Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone:
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming. CoRR abs/1903.00155 (2019) - [i67]Kiril Solovey, Mauro Salazar, Marco Pavone:
Scalable and Congestion-aware Routing for Autonomous Mobility-on-Demand via Frank-Wolfe Optimization. CoRR abs/1903.03697 (2019) - [i66]Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Emre Can Kara, Ram Rajagopal, Marco Pavone:
On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach. CoRR abs/1905.00200 (2019) - [i65]Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi, Thomas Lew, Marco Pavone:
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. CoRR abs/1905.07654 (2019) - [i64]Benoit Landry, Joseph Lorenzetti, Zachary Manchester, Marco Pavone:
Bilevel Optimization for Planning through Contact: A Semidirect Method. CoRR abs/1906.04292 (2019) - [i63]Jonathan Lacotte, Mert Pilanci, Marco Pavone:
High-Dimensional Optimization in Adaptive Random Subspaces. CoRR abs/1906.11809 (2019) - [i62]Sumeet Singh, Spencer M. Richards, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization. CoRR abs/1907.13122 (2019) - [i61]Matthew Tsao, Kiril Solovey, Marco Pavone:
Sample Complexity of Probabilistic Roadmaps via ε-nets. CoRR abs/1909.06363 (2019) - [i60]Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. CoRR abs/1909.09688 (2019) - [i59]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. CoRR abs/1909.11840 (2019) - [i58]Gioele Zardini, Nicolas Lanzetti, Mauro Salazar, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Towards a Co-Design Framework for Future Mobility Systems. CoRR abs/1910.07714 (2019) - [i57]Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone:
Map-Predictive Motion Planning in Unknown Environments. CoRR abs/1910.08184 (2019) - [i56]Joseph Lorenzetti, Marco Pavone:
A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme. CoRR abs/1911.07360 (2019) - [i55]Joseph Lorenzetti, Marco Pavone:
Error Bounds for Reduced Order Model Predictive Control. CoRR abs/1911.12349 (2019) - [i54]James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone:
Continuous Meta-Learning without Tasks. CoRR abs/1912.08866 (2019) - 2018
- [j20]Stefan Jorgensen, Robert H. Chen, Mark B. Milam, Marco Pavone:
The Team Surviving Orienteers problem: routing teams of robots in uncertain environments with survival constraints. Auton. Robots 42(4): 927-952 (2018) - [j19]Federico Rossi, Rick Zhang, Yousef Hindy, Marco Pavone:
Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms. Auton. Robots 42(7): 1427-1442 (2018) - [j18]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic sampling-based motion planning: Optimality, complexity, and performance. Int. J. Robotics Res. 37(1): 46-61 (2018) - [j17]Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone:
Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods. Int. J. Robotics Res. 37(13-14) (2018) - [c82]Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti:
Cellular Network Traffic Scheduling With Deep Reinforcement Learning. AAAI 2018: 766-774 - [c81]Joseph Lorenzetti, Mo Chen, Benoit Landry, Marco Pavone:
Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming. CDC 2018: 4409-4416 - [c80]Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone:
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. ICRA 2018: 1-7 - [c79]Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone:
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. ICRA 2018: 1-9 - [c78]Sebastiano Chiodini, Robert G. Reid, Benjamin J. Hockman, Issa A. D. Nesnas, Stefano Debei, Marco Pavone:
Robust Visual Localization for Hopping Rovers on Small Bodies. ICRA 2018: 897-903 - [c77]Zijian Wang, Sumeet Singh, Marco Pavone, Mac Schwager:
Cooperative Object Transport in 3D with Multiple Quadrotors Using No Peer Communication. ICRA 2018: 1064-1071 - [c76]Brian Ichter, James Harrison, Marco Pavone:
Learning Sampling Distributions for Robot Motion Planning. ICRA 2018: 7087-7094 - [c75]Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone:
Generative Modeling of Multimodal Multi-Human Behavior. IROS 2018: 3088-3095 - [c74]Benoit Landry, Mo Chen, Scott Hemley, Marco Pavone:
Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming. IROS 2018: 4325-4332 - [c73]Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. ISER 2018: 561-574 - [c72]Mauro Salazar, Federico Rossi, Maximilian Schiffer, Christopher Harald Onder, Marco Pavone:
On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems. ITSC 2018: 2262-2269 - [c71]Matthew Tsao, Ramón Iglesias, Marco Pavone:
Stochastic Model Predictive Control for Autonomous Mobility on Demand. ITSC 2018: 3941-3948 - [c70]Lucas Janson, Tommy Hu, Marco Pavone:
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. Robotics: Science and Systems 2018 - [c69]Federico Rossi, Ramón Iglesias, Mahnoosh Alizadeh, Marco Pavone:
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms. Robotics: Science and Systems 2018 - [c68]Sumeet Singh, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning Stabilizable Dynamical Systems via Control Contraction Metrics. WAFR 2018: 179-195 - [c67]James Harrison, Apoorva Sharma, Marco Pavone:
Meta-learning Priors for Efficient Online Bayesian Regression. WAFR 2018: 318-337 - [c66]Sumeet Singh, Mo Chen, Sylvia L. Herbert, Claire J. Tomlin, Marco Pavone:
Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach. WAFR 2018: 545-564 - [c65]Mo Chen, Qizhan Tam, Scott C. Livingston, Marco Pavone:
Signal Temporal Logic Meets Reachability: Connections and Applications. WAFR 2018: 581-601 - [i53]Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone:
Generative Modeling of Multimodal Multi-Human Behavior. CoRR abs/1803.02015 (2018) - [i52]Federico Rossi, Saptarshi Bandyopadhyay, Michael T. Wolf, Marco Pavone:
Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy. CoRR abs/1803.05464 (2018) - [i51]Lucas Janson, Tommy Hu, Marco Pavone:
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. CoRR abs/1804.05804 (2018) - [i50]Matthew Tsao, Ramón Iglesias, Marco Pavone:
Stochastic Model Predictive Control for Autonomous Mobility on Demand. CoRR abs/1804.11074 (2018) - [i49]Mauro Salazar, Federico Rossi, Maximilian Schiffer, Christopher Harald Onder, Marco Pavone:
On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems. CoRR abs/1804.11278 (2018) - [i48]Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone:
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. CoRR abs/1806.06161 (2018) - [i47]James Harrison, Apoorva Sharma, Marco Pavone:
Meta-Learning Priors for Efficient Online Bayesian Regression. CoRR abs/1807.08912 (2018) - [i46]Brian Ichter, Marco Pavone:
Robot Motion Planning in Learned Latent Spaces. CoRR abs/1807.10366 (2018) - [i45]Benoit Landry, Mo Chen, Scott Hemley, Marco Pavone:
Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming. CoRR abs/1807.11553 (2018) - [i44]Sumeet Singh, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning Stabilizable Dynamical Systems via Control Contraction Metrics. CoRR abs/1808.00113 (2018) - [i43]Sumeet Singh, Mo Chen, Sylvia L. Herbert, Claire J. Tomlin, Marco Pavone:
Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach. CoRR abs/1808.00649 (2018) - [i42]Jonathan Lacotte, Yinlam Chow, Mohammad Ghavamzadeh, Marco Pavone:
Risk-Sensitive Generative Adversarial Imitation Learning. CoRR abs/1808.04468 (2018) - [i41]Boris Ivanovic, Marco Pavone:
Modeling Multimodal Dynamic Spatiotemporal Graphs. CoRR abs/1810.05993 (2018) - [i40]Joseph Lorenzetti, Benoit Landry, Sumeet Singh, Marco Pavone:
Reduced Order Model Predictive Control For Setpoint Tracking. CoRR abs/1811.06590 (2018) - [i39]Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. CoRR abs/1812.11315 (2018) - 2017
- [j16]Torsten Kröger, Samir Menon, Katja D. Mombaur, Hanna Kurniawati, Marco Pavone:
Special issue on selected and extended papers from SIMPAR 2016. Adv. Robotics 31(22): 1157-1158 (2017) - [j15]Benjamin J. Hockman, Andreas Frick, Robert G. Reid, Issa A. D. Nesnas, Marco Pavone:
Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-gravity Planetary Bodies. J. Field Robotics 34(1): 5-24 (2017) - [j14]Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone:
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. J. Mach. Learn. Res. 18: 167:1-167:51 (2017) - [c64]Stefan Jorgensen, Robert H. Chen, Mark B. Milam, Marco Pavone:
The risk-sensitive coverage problem: Multi-robot routing under uncertainty with service level and survival constraints. CDC 2017: 925-932 - [c63]Roshena MacPherson, Benjamin J. Hockman, Andrew Bylard, Matthew A. Estrada, Mark R. Cutkosky, Marco Pavone:
Trajectory Optimization for Dynamic Grasping in Space Using Adhesive Grippers. FSR 2017: 49-64 - [c62]Matthew A. Estrada, Hao Jiang, Bessie Noll, Elliot Wright Hawkes, Marco Pavone, Mark R. Cutkosky:
Force and moment constraints of a curved surface gripper and wrist for assistive free flyers. ICRA 2017: 2824-2830 - [c61]Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone:
Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. ICRA 2017: 5019-5026 - [c60]Sumeet Singh, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone:
Robust online motion planning via contraction theory and convex optimization. ICRA 2017: 5883-5890 - [c59]Brian Ichter, Edward Schmerling, Marco Pavone:
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. IRC 2017: 219-226 - [c58]Stefan Jorgensen, Robert H. Chen, Mark B. Milam, Marco Pavone:
The Team Surviving Orienteers Problem: Routing Robots in Uncertain Environments with Survival Constraints. IRC 2017: 227-234 - [c57]Stefan Jorgensen, Robert H. Chen, Mark B. Milam, Marco Pavone:
The Matroid Team Surviving Orienteers problem: Constrained routing of heterogeneous teams with risky traversal. IROS 2017: 5622-5629 - [c56]Anirudha Majumdar, Marco Pavone:
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. ISRR 2017: 75-84 - [c55]Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone:
Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models. ISRR 2017: 127-144 - [c54]James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone:
AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. ISRR 2017: 437-453 - [c53]Benjamin J. Hockman, Marco Pavone:
Stochastic Motion Planning for Hopping Rovers on Small Solar System Bodies. ISRR 2017: 877-893 - [c52]Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone:
Perception-Aware Motion Planning via Multiobjective Search on GPUs. ISRR 2017: 895-912 - [c51]Anirudha Majumdar, Sumeet Singh, Ajay Mandlekar, Marco Pavone:
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. Robotics: Science and Systems 2017 - [c50]Edward Schmerling, Marco Pavone:
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. Robotics: Science and Systems 2017 - [i38]Yin-Lam Chow, Sumeet Singh, Anirudha Majumdar, Marco Pavone:
A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms. CoRR abs/1703.01029 (2017) - [i37]Brian Ichter, Edward Schmerling, Marco Pavone:
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. CoRR abs/1705.02403 (2017) - [i36]Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone:
Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. CoRR abs/1705.02408 (2017) - [i35]James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone:
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. CoRR abs/1707.04674 (2017) - [i34]Federico Rossi, Ramón Iglesias, Mahnoosh Alizadeh, Marco Pavone:
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms. CoRR abs/1709.04906 (2017) - [i33]Brian Ichter, James Harrison, Marco Pavone:
Learning Sampling Distributions for Robot Motion Planning. CoRR abs/1709.05448 (2017) - [i32]Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone:
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. CoRR abs/1709.07032 (2017) - [i31]Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone:
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. CoRR abs/1710.09483 (2017) - [i30]Anirudha Majumdar, Marco Pavone:
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. CoRR abs/1710.11040 (2017) - [i29]Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone:
Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods. CoRR abs/1711.10055 (2017) - 2016
- [j13]Rick Zhang, Marco Pavone:
Control of robotic mobility-on-demand systems: A queueing-theoretical perspective. Int. J. Robotics Res. 35(1-3): 186-203 (2016) - [j12]Ross E. Allen, Marco Pavone, Mac Schwager:
Flying Smartphones: When Portable Computing Sprouts Wings. IEEE Pervasive Comput. 15(3): 83-88 (2016) - [c49]Ian B. Flader, Chae H. Ahn, Dustin D. Gerrard, Eldwin Jiaqiang Ng, Yushi Yang, Vu A. Hong, Marco Pavone, Thomas W. Kenny:
Autonomous calibration of MEMS disk resonating gyroscope for improved sensor performance. ACC 2016: 5803-5810 - [c48]Stefano Carpin, Yinlam Chow, Marco Pavone:
Risk aversion in finite Markov Decision Processes using total cost criteria and average value at risk. ICRA 2016: 335-342 - [c47]Rick Zhang, Federico Rossi, Marco Pavone:
Model predictive control of autonomous mobility-on-demand systems. ICRA 2016: 1382-1389 - [c46]Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone:
Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. ICRA 2016: 1455-1461 - [c45]Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone, Joel W. Burdick:
Simultaneous model identification and task satisfaction in the presence of temporal logic constraints. ICRA 2016: 3682-3689 - [c44]Matthew A. Estrada, Benjamin J. Hockman, Andrew Bylard, Elliot Wright Hawkes, Mark R. Cutkosky, Marco Pavone:
Free-flyer acquisition of spinning objects with gecko-inspired adhesives. ICRA 2016: 4907-4913 - [c43]Benjamin J. Hockman, Robert G. Reid, Issa A. D. Nesnas, Marco Pavone:
Experimental Methods for Mobility and Surface Operations of Microgravity Robots. ISER 2016: 752-763 - [c42]Rick Zhang, Federico Rossi, Marco Pavone:
Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms. Robotics: Science and Systems 2016 - [c41]Ramón Iglesias, Federico Rossi, Rick Zhang, Marco Pavone:
A BCMP Network Approach to Modeling and Controlling Autonomous Mobility-on-Demand Systems. WAFR 2016: 831-847 - [i28]Joseph A. Starek, Edward Schmerling, Gabriel D. Maher, Brent W. Barbee, Marco Pavone:
Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics. CoRR abs/1601.00042 (2016) - [i27]Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone:
Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report). CoRR abs/1602.04762 (2016) - [i26]Federico Rossi, Rick Zhang, Marco Pavone:
Autonomous Vehicle Routing in Congested Road Networks. CoRR abs/1603.00939 (2016) - [i25]Masahiro Ono, Mahmoud El Chamie, Marco Pavone, Behçet Açikmese:
Mixed Strategy for Constrained Stochastic Optimal Control. CoRR abs/1607.01478 (2016) - [i24]Ramón Iglesias, Federico Rossi, Rick Zhang, Marco Pavone:
A BCMP Network Approach to Modeling and Controlling Autonomous Mobility-on-Demand Systems. CoRR abs/1607.04357 (2016) - [i23]Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone:
Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs. CoRR abs/1607.06886 (2016) - [i22]Edward Schmerling, Marco Pavone:
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. CoRR abs/1609.05399 (2016) - [i21]Stefan Jorgensen, Robert H. Chen, Mark B. Milam, Marco Pavone:
The Team Surviving Orienteers Problem: Routing Robots in Uncertain Environments with Survival Constraints. CoRR abs/1612.03232 (2016) - 2015
- [j11]Marco Pavone, Stefano Carpin:
Guest Editorial: Special issue on constrained decision-making in robotics. Auton. Robots 39(4): 465-467 (2015) - [j10]Masahiro Ono, Marco Pavone, Yoshiaki Kuwata, J. Balaram:
Chance-constrained dynamic programming with application to risk-aware robotic space exploration. Auton. Robots 39(4): 555-571 (2015) - [j9]Lucas Janson, Edward Schmerling, Ashley A. Clark, Marco Pavone:
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. Int. J. Robotics Res. 34(7): 883-921 (2015) - [c40]Rick Zhang, Kevin Spieser, Emilio Frazzoli, Marco Pavone:
Models, algorithms, and evaluation for autonomous mobility-on-demand systems. ACC 2015: 2573-2587 - [c39]Rick Zhang, Marco Pavone:
A queueing network approach to the analysis and control of mobility-on-demand systems. ACC 2015: 4702-4709 - [c38]Zhijie Zhu, Edward Schmerling, Marco Pavone:
A convex optimization approach to smooth trajectories for motion planning with car-like robots. CDC 2015: 835-842 - [c37]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics. CDC 2015: 2574-2581 - [c36]Benjamin J. Hockman, Andreas Frick, Issa A. D. Nesnas, Marco Pavone:
Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-Gravity Planetary Bodies. FSR 2015: 283-298 - [c35]Ross E. Allen, Marco Pavone:
Toward a real-time framework for solving the kinodynamic motion planning problem. ICRA 2015: 928-934 - [c34]Sumeet Singh, Edward Schmerling, Marco Pavone:
Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach. ICRA 2015: 1274-1281 - [c33]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal sampling-based motion planning under differential constraints: The driftless case. ICRA 2015: 2368-2375 - [c32]Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone:
An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. IROS 2015: 2072-2078 - [c31]Lucas Janson, Edward Schmerling, Marco Pavone:
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. ISRR (2) 2015: 343-361 - [c30]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. ISRR (2) 2015: 507-525 - [c29]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. NIPS 2015: 1522-1530 - [r1]Emilio Frazzoli, Marco Pavone:
Multi-vehicle Routing. Encyclopedia of Systems and Control 2015 - [i20]Lucas Janson, Edward Schmerling, Marco Pavone:
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. CoRR abs/1504.08053 (2015) - [i19]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. CoRR abs/1505.00023 (2015) - [i18]Zhijie Zhu, Edward Schmerling, Marco Pavone:
A Convex Optimization Approach to Smooth Trajectories for Motion Planning with Car-Like Robots. CoRR abs/1506.01085 (2015) - [i17]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. CoRR abs/1506.02188 (2015) - [i16]Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone:
An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning. CoRR abs/1507.07602 (2015) - [i15]Rick Zhang, Federico Rossi, Marco Pavone:
Model Predictive Control of Autonomous Mobility-on-Demand Systems. CoRR abs/1509.03985 (2015) - [i14]Sumeet Singh, Edward Schmerling, Marco Pavone:
Decentralized Algorithms for 3D Symmetric Formations in Robotic Networks: a Contraction Theory Approach. CoRR abs/1511.02547 (2015) - [i13]Yinlam Chow, Marco Pavone, Brian M. Sadler, Stefano Carpin:
Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints. CoRR abs/1511.06982 (2015) - [i12]Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone:
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. CoRR abs/1512.01629 (2015) - 2014
- [c28]Federico Rossi, Marco Pavone:
Distributed consensus with mixed time/communication bandwidth performance metrics. Allerton 2014: 286-293 - [c27]Yin-Lam Chow, Marco Pavone:
A framework for time-consistent, risk-averse model predictive control: Theory and algorithms. ACC 2014: 4204-4211 - [c26]Federico Rossi, Marco Pavone:
On the fundamental limitations of performance for distributed decision-making in robotic networks. CDC 2014: 2433-2440 - [c25]Adam W. Koenig, Marco Pavone, Julie C. Castillo-Rogez, Issa A. D. Nesnas:
A dynamical characterization of internally-actuated microgravity mobility systems. ICRA 2014: 6618-6624 - [c24]Stefano Carpin, Marco Pavone, Brian M. Sadler:
Rapid multirobot deployment with time constraints. IROS 2014: 1147-1154 - [c23]Ross E. Allen, Ashley A. Clark, Joseph A. Starek, Marco Pavone:
A machine learning approach for real-time reachability analysis. IROS 2014: 2202-2208 - [c22]Rick Zhang, Marco Pavone:
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective. Robotics: Science and Systems 2014 - [i11]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case. CoRR abs/1403.2483 (2014) - [i10]Rick Zhang, Marco Pavone:
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective. CoRR abs/1404.4391 (2014) - [i9]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics. CoRR abs/1405.7421 (2014) - [i8]Federico Rossi, Marco Pavone:
On the fundamental limitations of performance for distributed decision-making in robotic networks. CoRR abs/1409.4863 (2014) - [i7]Rick Zhang, Marco Pavone:
A Queueing Network Approach to the Analysis and Control of Mobility-On-Demand Systems. CoRR abs/1409.6775 (2014) - [i6]Federico Rossi, Marco Pavone:
Distributed consensus with mixed time/communication bandwidth performance metrics. CoRR abs/1410.0956 (2014) - 2013
- [j8]Kyle Treleaven, Marco Pavone, Emilio Frazzoli:
Asymptotically Optimal Algorithms for One-to-One Pickup and Delivery Problems With Applications to Transportation Systems. IEEE Trans. Autom. Control. 58(9): 2261-2276 (2013) - [c21]Federico Rossi, Marco Pavone:
Decentralized decision-making on robotic networks with hybrid performance metrics. Allerton 2013: 358-365 - [c20]Yin-Lam Chow, Marco Pavone:
Stochastic optimal control with dynamic, time-consistent risk constraints. ACC 2013: 390-395 - [c19]Stephen L. Smith, Marco Pavone, Mac Schwager, Emilio Frazzoli, Daniela Rus:
Rebalancing the rebalancers: optimally routing vehicles and drivers in mobility-on-demand systems. ACC 2013: 2362-2367 - [c18]Yin-Lam Chow, Marco Pavone:
A uniform-grid discretization algorithm for stochastic optimal control with risk constraints. CDC 2013: 2465-2470 - [c17]Ross E. Allen, Marco Pavone, Christopher McQuin, Issa A. D. Nesnas, Julie C. Castillo-Rogez, Tam-Nguyen Nguyen, Jeffrey A. Hoffman:
Internally-actuated rovers for all-access surface mobility: Theory and experimentation. ICRA 2013: 5481-5488 - [c16]Lucas Janson, Marco Pavone:
Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions. ISRR 2013: 667-684 - [i5]Lucas Janson, Marco Pavone:
Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version. CoRR abs/1306.3532 (2013) - 2012
- [j7]Marco Pavone, Stephen L. Smith, Emilio Frazzoli, Daniela Rus:
Robotic load balancing for mobility-on-demand systems. Int. J. Robotics Res. 31(7): 839-854 (2012) - [c15]Kyle Treleaven, Marco Pavone, Emilio Frazzoli:
Cost bounds for Pickup and Delivery Problems with application to large-scale transportation systems. ACC 2012: 2120-2127 - [c14]Yoshiaki Kuwata, Marco Pavone, J. Balaram:
A risk-constrained multi-stage decision making approach to the architectural analysis of planetary missions. CDC 2012: 2102-2109 - [c13]Kyle Treleaven, Marco Pavone, Emilio Frazzoli:
Models and efficient algorithms for pickup and delivery problems on roadmaps. CDC 2012: 5691-5698 - [i4]Kyle Treleaven, Marco Pavone, Emilio Frazzoli:
Asymptotically Optimal Algorithms for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems. CoRR abs/1202.1327 (2012) - 2011
- [j6]Francesco Bullo, Emilio Frazzoli, Marco Pavone, Ketan Savla, Stephen L. Smith:
Dynamic Vehicle Routing for Robotic Systems. Proc. IEEE 99(9): 1482-1504 (2011) - [j5]Marco Pavone, Emilio Frazzoli, Francesco Bullo:
Adaptive and Distributed Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment. IEEE Trans. Autom. Control. 56(6): 1259-1274 (2011) - [j4]Marco Pavone, Alessandro Arsie, Emilio Frazzoli, Francesco Bullo:
Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks. IEEE Trans. Autom. Control. 56(8): 1834-1848 (2011) - [c12]Kyle Treleaven, Marco Pavone, Emilio Frazzoli:
An asymptotically optimal algorithm for pickup and delivery problems. CDC/ECC 2011: 584-590 - [c11]Marco Pavone, Stephen L. Smith, Emilio Frazzoli, Daniela Rus:
Load Balancing for Mobility-on-Demand Systems. Robotics: Science and Systems 2011 - 2010
- [j3]Stephen L. Smith, Marco Pavone, Francesco Bullo, Emilio Frazzoli:
Dynamic Vehicle Routing with Priority Classes of Stochastic Demands. SIAM J. Control. Optim. 48(5): 3224-3245 (2010) - [c10]Marco Pavone, Kyle Treleaven, Emilio Frazzoli:
Fundamental performance limits and efficient polices for Transportation-On-Demand systems. CDC 2010: 5622-5629 - [c9]Marco Pavone, Emilio Frazzoli:
Dynamic vehicle routing with stochastic time constraints. ICRA 2010: 1460-1467
2000 – 2009
- 2009
- [j2]Marco Pavone, Nabhendra Bisnik, Emilio Frazzoli, Volkan Isler:
A Stochastic and Dynamic Vehicle Routing Problem with Time Windows and Customer Impatience. Mob. Networks Appl. 14(3): 350-364 (2009) - [j1]Marco Pavone, Ketan Savla, Emilio Frazzoli:
Sharing the load. IEEE Robotics Autom. Mag. 16(2): 52-61 (2009) - [c8]Marco Pavone, Stephen L. Smith, Francesco Bullo, Emilio Frazzoli:
Dynamic multi-vehicle routing with multiple classes of demands. ACC 2009: 604-609 - [c7]Jaime L. Ramirez, Marco Pavone, Emilio Frazzoli, David W. Miller:
Distributed control of spacecraft formation via cyclic pursuit: Theory and experiments. ACC 2009: 4811-4817 - [c6]Marco Pavone, Alessandro Arsie, Emilio Frazzoli, Francesco Bullo:
Equitable partitioning policies for robotic networks. ICRA 2009: 2356-2361 - [i3]Marco Pavone, Stephen L. Smith, Francesco Bullo, Emilio Frazzoli:
Dynamic Multi-Vehicle Routing with Multiple Classes of Demands. CoRR abs/0903.2695 (2009) - [i2]Marco Pavone, Emilio Frazzoli, Francesco Bullo:
Distributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment. CoRR abs/0903.3624 (2009) - [i1]Marco Pavone, Alessandro Arsie, Emilio Frazzoli, Francesco Bullo:
Equitable Partitioning Policies for Mobile Robotic Networks. CoRR abs/0903.5267 (2009) - 2008
- [c5]Stephen L. Smith, Marco Pavone, Francesco Bullo, Emilio Frazzoli:
Dynamic vehicle routing with heterogeneous demands. CDC 2008: 1206-1211 - [c4]Marco Pavone, Emilio Frazzoli, Francesco Bullo:
Distributed policies for equitable partitioning: Theory and applications. CDC 2008: 4191-4197 - 2007
- [c3]Marco Pavone, Emilio Frazzoli:
Decentralized policies for geometric pattern formation. ACC 2007: 3949-3954 - [c2]Marco Pavone, Emilio Frazzoli, Francesco Bullo:
Decentralized algorithms for stochastic and dynamic vehicle routing with general demand distribution. CDC 2007: 4869-4874 - [c1]Marco Pavone, Nabhendra Bisnik, Emilio Frazzoli, Volkan Isler:
Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience. ROBOCOMM 2007: 24
Coauthor Index
Landry Benoit
aka: Benoit Landry
aka: Benoit Landry
Sandeep Chinchali
aka: Sandeep P. Chinchali
aka: Sandeep P. Chinchali
Yinlam Chow
aka: Yin-Lam Chow
aka: Yin-Lam Chow
[c204] [i238] [i233] [i227] [i226] [i223] [i218] [i217] [i215] [c193] [c192] [c189] [c183] [c181] [c180] [c179] [c173] [i214] [i205] [i200] [i197] [i196] [i194] [i191] [i188] [c163] [c162] [c160] [c159] [c156] [c154] [c151] [c149] [c144] [i165] [i163] [i160] [i154] [i152] [i149] [i142] [j33] [c138] [i129] [i121] [i114] [i111] [i110] [i108] [c121] [c120] [c112] [c110] [c104] [i103] [i93] [i86] [i85] [i81] [i76] [c95] [c94] [i57] [c75] [i53] [i48] [i41] [c54] [i35]
[i223] [i219] [j61] [c200] [c197] [c196] [c184] [c177] [c175] [i202] [i195] [i193] [i192] [j45] [c171] [c170] [c165] [c157] [c153] [c150] [c145] [c144] [i175] [i169] [i168] [i166] [i159] [i158] [i157] [i155] [i153] [i151] [i145] [i140] [j33] [i122] [i119] [i114] [i106] [j29] [c115] [i93] [i74] [i60] [c79] [c75] [c73] [i53] [i39] [c61] [c59] [c52] [c50] [i37] [i36] [i31] [i28] [i23] [i22] [j9] [c38] [c37] [c34] [c33] [c32] [c31] [i20] [i18] [i16] [i14] [i11] [i9]
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-07-25 22:33 CEST by the dblp team
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