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2020 – today
- 2025
[j44]Elena Sorina Lupu
, Fengze Xie, James A. Preiss, Jedidiah Alindogan, Matthew Anderson, Soon-Jo Chung:
MAGICVFM-Meta-Learning Adaptation for Ground Interaction Control With Visual Foundation Models. IEEE Trans. Robotics 41: 180-199 (2025)- 2024
- [j43]Dzenan Lapandic, Fengze Xie, Christos K. Verginis, Soon-Jo Chung, Dimos V. Dimarogonas, Bo Wahlberg:
Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors. IEEE Control. Syst. Lett. 8: 3045-3050 (2024) - [j42]Michael O'Connell, Joshua Cho, Matthew Anderson, Soon-Jo Chung:
Learning-Based Minimally-Sensed Fault-Tolerant Adaptive Flight Control. IEEE Robotics Autom. Lett. 9(6): 5198-5205 (2024) - [j41]James Ragan, Benjamin Rivière, Fred Y. Hadaegh, Soon-Jo Chung:
Online tree-based planning for active spacecraft fault estimation and collision avoidance. Sci. Robotics 9(93) (2024) - [j40]Benjamin Rivière, John Lathrop, Soon-Jo Chung:
Monte Carlo tree search with spectral expansion for planning with dynamical systems. Sci. Robotics 9(97) (2024) - [c65]Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Policy Optimization in Unknown Nonlinear Systems. COLT 2024: 3475-3522 - [c64]Connor Lee, Matthew Anderson, Nikhil Ranganathan, Xingxing Zuo, Kevin Do, Georgia Gkioxari, Soon-Jo Chung:
Caltech Aerial RGB-Thermal Dataset in the Wild. ECCV (63) 2024: 236-256 - [c63]Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung:
Hierarchical Meta-learning-based Adaptive Controller. ICRA 2024: 18309-10315 - [c62]John Lathrop, Benjamin Rivière, Jedidiah Alindogan, Soon-Jo Chung:
Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search. IROS 2024: 7671-7678 - [c61]Connor Lee, Saraswati Soedarmadji, Matthew Anderson, Anthony J. Clark, Soon-Jo Chung:
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots. IROS 2024: 10407-10414 - [c60]Sri Aditya Deevi, Connor Lee, Lu Gan, Sushruth Nagesh, Gaurav Pandey, Soon-Jo Chung:
RGB-X Object Detection via Scene-Specific Fusion Modules. WACV 2024: 7351-7360 - [i50]Geeling Chau, Yujin An, Ahamed Raffey Iqbal, Soon-Jo Chung, Yisong Yue, Sabera Talukder:
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces. CoRR abs/2402.18546 (2024) - [i49]Connor Lee, Matthew Anderson, Nikhil Raganathan, Xingxing Zuo, Kevin Do, Georgia Gkioxari, Soon-Jo Chung:
CART: Caltech Aerial RGB-Thermal Dataset in the Wild. CoRR abs/2403.08997 (2024) - [i48]Connor Lee, Saraswati Soedarmadji, Matthew Anderson, Anthony J. Clark, Soon-Jo Chung:
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots. CoRR abs/2403.14056 (2024) - [i47]Elena Sorina Lupu, Fengze Xie, James A. Preiss, Jedidiah Alindogan, Matthew Anderson, Soon-Jo Chung:
MAGIC-VFM: Meta-learning Adaptation for Ground Interaction Control with Visual Foundation Models. CoRR abs/2407.12304 (2024) - [i46]Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar, James Ragan, Soon-Jo Chung, Fred Y. Hadaegh:
Robust Optimal Network Topology Switching for Zero Dynamics Attacks. CoRR abs/2407.18440 (2024) - [i45]Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung, Fred Y. Hadaegh:
Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach. CoRR abs/2407.18448 (2024) - [i44]Hannah Grauer, Elena-Sorina Lupu, Connor Lee, Soon-Jo Chung, Darren Rowen, Benjamen Bycroft, Phaedrus Leeds, John Brader:
Vision-Based Detection of Uncooperative Targets and Components on Small Satellites. CoRR abs/2408.12084 (2024) - [i43]Dzenan Lapandic, Fengze Xie, Christos K. Verginis, Soon-Jo Chung, Dimos V. Dimarogonas, Bo Wahlberg:
Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors. CoRR abs/2410.06325 (2024) - [i42]John Lathrop, Benjamin Rivière, Jedidiah Alindogan, Soon-Jo Chung:
Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search. CoRR abs/2411.15651 (2024) - 2023
- [j39]SooJean Han, Soon-Jo Chung, John C. Doyle:
Predictive control of linear discrete-time Markovian jump systems by learning recurrent patterns. Autom. 156: 111197 (2023) - [j38]Yashwanth Kumar Nakka, Soon-Jo Chung:
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty. IEEE Trans. Robotics 39(1): 203-222 (2023) - [j37]Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung, Richard M. Murray:
Rules of the Road: Formal Guarantees for Autonomous Vehicles With Behavioral Contract Design. IEEE Trans. Robotics 39(3): 1853-1872 (2023) - [j36]Kai Matsuka, Soon-Jo Chung:
Localized and Incremental Probabilistic Inference for Large-Scale Networked Dynamical Systems. IEEE Trans. Robotics 39(5): 3516-3535 (2023) - [c59]Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung:
CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems. CDC 2023: 2910-2917 - [c58]Lu Gan, Connor Lee, Soon-Jo Chung:
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. ICRA 2023: 6014-6020 - [c57]Se-Yeon Jeon, Brian P. Hawkins, Samuel Prager, Matthew Anderson, Stefano Moro, Robert Beauchamp, Eric Loria, Soon-Jo Chung, Marco Lavalle:
Uav-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables. IGARSS 2023: 1906-1909 - [c56]Connor Lee, Jonathan Gustafsson Frennert, Lu Gan, Matthew Anderson, Soon-Jo Chung:
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. IROS 2023: 7734-7741 - [c55]SooJean Han, Soon-Jo Chung, Johanna Gustafson:
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns. L4DC 2023: 903-914 - [i41]SooJean Han, Soon-Jo Chung, John C. Doyle:
Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns. CoRR abs/2305.05587 (2023) - [i40]Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung:
CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems. CoRR abs/2307.08602 (2023) - [i39]Connor T. Lee, Jonathan Gustafsson Frennert, Lu Gan, Matthew Anderson, Soon-Jo Chung:
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. CoRR abs/2307.09027 (2023) - [i38]Sri Aditya Deevi, Connor T. Lee, Lu Gan, Sushruth Nagesh, Gaurav Pandey, Soon-Jo Chung:
RGB-X Object Detection via Scene-Specific Fusion Modules. CoRR abs/2310.19372 (2023) - [i37]Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung:
Hierarchical Meta-learning-based Adaptive Controller. CoRR abs/2311.12367 (2023) - [i36]Fengze Xie, Marcus Dominguez-Kuhne, Benjamin Rivière, Jialin Song, Wolfgang Hönig, Soon-Jo Chung, Yisong Yue:
Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics. CoRR abs/2311.12385 (2023) - 2022
- [j35]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly enables rapid learning for agile flight in strong winds. Sci. Robotics 7(66) (2022) - [j34]Benjamin Rivière, Soon-Jo Chung:
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. IEEE Trans. Intell. Transp. Syst. 23(8): 10935-10944 (2022) - [j33]Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions. IEEE Trans. Robotics 38(2): 1063-1079 (2022) - [c54]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. ACC 2022: 2604-2610 - [c53]Soon-Jo Chung:
Neural-fly Enables Rapid Learning for Agile Flight in Strong Winds for Drones. ICINCO 2022: 7 - [c52]Samuel Prager, Brian P. Hawkins, Matthew Anderson, Soon-Jo Chung, Marco Lavalle:
Development of Ultra-Wideband Software Defined Radar Testbed to Support SAR Tomographic Mission Formulation. IGARSS 2022: 4799-4802 - [i35]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. CoRR abs/2205.06908 (2022) - [i34]Hiroyasu Tsukamoto, Soon-Jo Chung, Benjamin Donitz, Michel D. Ingham, Declan Mages, Yashwanth Kumar Nakka:
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects. CoRR abs/2208.04883 (2022) - [i33]Lu Gan, Connor T. Lee, Soon-Jo Chung:
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. CoRR abs/2210.04367 (2022) - [i32]Benjamin P. S. Donitz, Declan Mages, Hiroyasu Tsukamoto, Peter Dixon, Damon Landau, Soon-Jo Chung, Erica Bufanda, Michel D. Ingham, Julie C. Castillo-Rogez:
Interstellar Object Accessibility and Mission Design. CoRR abs/2210.14980 (2022) - 2021
- [j32]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview. Annu. Rev. Control. 52: 135-169 (2021) - [j31]Hiroyasu Tsukamoto, Soon-Jo Chung:
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. IEEE Control. Syst. Lett. 5(1): 211-216 (2021) - [j30]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Neural Stochastic Contraction Metrics for Learning-Based Control and Estimation. IEEE Control. Syst. Lett. 5(5): 1825-1830 (2021) - [j29]Kevin C. Meier, Soon-Jo Chung, Seth Hutchinson:
River segmentation for autonomous surface vehicle localization and river boundary mapping. J. Field Robotics 38(2): 192-211 (2021) - [j28]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. 6(1): 389-396 (2021) - [j27]Hiroyasu Tsukamoto, Soon-Jo Chung:
Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach. IEEE Robotics Autom. Lett. 6(4): 6164-6171 (2021) - [j26]Benjamin Rivière, Wolfgang Hönig, Matthew Anderson, Soon-Jo Chung:
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. IEEE Robotics Autom. Lett. 6(4): 6868-6875 (2021) - [j25]Anthony T. Fragoso, Connor T. Lee, Austin S. McCoy, Soon-Jo Chung:
A seasonally invariant deep transform for visual terrain-relative navigation. Sci. Robotics 6(55): 3320 (2021) - [j24]Kyunam Kim, Patrick Spieler, Elena-Sorina Lupu, Alireza Ramezani, Soon-Jo Chung:
A bipedal walking robot that can fly, slackline, and skateboard. Sci. Robotics 6(59) (2021) - [j23]Hiroyasu Tsukamoto, Soon-Jo Chung:
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. IEEE Trans. Autom. Control. 66(10): 4731-4746 (2021) - [c51]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Neural Stochastic Contraction Metrics for Learning-based Control and Estimation. ACC 2021: 1275-1280 - [c50]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Learning-based Adaptive Control using Contraction Theory. CDC 2021: 2533-2538 - [c49]Sumeet Singh, Hiroyasu Tsukamoto, Brett Thomas Lopez, Soon-Jo Chung, Jean-Jacques E. Slotine:
Safe Motion Planning with Tubes and Contraction Metrics. CDC 2021: 2943-2948 - [c48]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan:
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. CDC 2021: 2949-2954 - [c47]Brian P. Hawkins, Matthew Anderson, Sam Prager, Soon-Jo Chung, Marco Lavalle:
Experiments with Small UAS to Support SAR Tomographic Mission Formulation. IGARSS 2021: 643-646 - [c46]Marco Lavalle, Ilgin Seker, James Ragan, Eric Loria, Razi Ahmed, Brian P. Hawkins, Samuel Prager, Duane Clark, Robert Beauchamp, Mark Haynes, Paolo Focardi, Nacer E. Chahat, Matthew Anderson, Kai Matsuka, Vincenzo Capuano, Soon-Jo Chung:
Distributed Aperture Radar Tomographic Sensors (DARTS) to Map Surface Topography and Vegetation Structure. IGARSS 2021: 1090-1093 - [c45]Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS 2021: 10013-10025 - [i31]Hiroyasu Tsukamoto, Soon-Jo Chung:
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach. CoRR abs/2102.12668 (2021) - [i30]Michael O'Connell, Guanya Shi, Xichen Shi, Soon-Jo Chung:
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions. CoRR abs/2103.01932 (2021) - [i29]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Learning-based Adaptive Control via Contraction Theory. CoRR abs/2103.02987 (2021) - [i28]SooJean Han, Soon-Jo Chung:
Incremental Nonlinear Stability Analysis for Stochastic Systems Perturbed by Lévy Noise. CoRR abs/2103.13338 (2021) - [i27]Benjamin Rivière, Wolfgang Hönig, Matthew Anderson, Soon-Jo Chung:
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. CoRR abs/2104.09705 (2021) - [i26]Benjamin Rivière, Soon-Jo Chung:
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. CoRR abs/2105.02138 (2021) - [i25]Yashwanth Kumar Nakka, Soon-Jo Chung:
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning and Control. CoRR abs/2106.02801 (2021) - [i24]Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR abs/2106.06098 (2021) - [i23]SooJean Han, Soon-Jo Chung, John C. Doyle:
A Two-Part Controller Synthesis Approach for Nonlinear Stochastic Systems Perturbed by Lévy Noise Using Renewal Theory and HJB-Based Impulse Control. CoRR abs/2107.10441 (2021) - [i22]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview. CoRR abs/2110.00675 (2021) - [i21]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan:
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. CoRR abs/2110.00693 (2021) - [i20]Daniel Neamati, Yashwanth Kumar Nakka, Soon-Jo Chung:
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness. CoRR abs/2112.09998 (2021) - 2020
- [j22]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. IEEE Robotics Autom. Lett. 5(3): 4249-4256 (2020) - [c44]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. ICRA 2020: 3241-3247 - [c43]Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung:
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. ICRA 2020: 5321-5327 - [c42]Serin Lee, Vincenzo Capuano, Alexei Harvard, Soon-Jo Chung:
Fast Uncertainty Estimation for Deep Learning Based Optical Flow. IROS 2020: 10138-10144 - [c41]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. L4DC 2020: 608-619 - [c40]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c39]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. NeurIPS 2020 - [i19]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i18]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. CoRR abs/2002.11807 (2020) - [i17]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. CoRR abs/2003.02992 (2020) - [i16]Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung:
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. CoRR abs/2003.07558 (2020) - [i15]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR abs/2005.04374 (2020) - [i14]Hiroyasu Tsukamoto, Soon-Jo Chung:
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. CoRR abs/2006.04359 (2020) - [i13]Hiroyasu Tsukamoto, Soon-Jo Chung:
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. CoRR abs/2006.04361 (2020) - [i12]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. CoRR abs/2006.07569 (2020) - [i11]Xichen Shi, Michael O'Connell, Soon-Jo Chung:
Numerical Predictive Control for Delay Compensation. CoRR abs/2009.14450 (2020) - [i10]Aditya A. Paranjape, Soon-Jo Chung:
Sub-Optimality of a Dyadic Adaptive Control Architecture. CoRR abs/2010.10329 (2020) - [i9]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. CoRR abs/2010.11637 (2020) - [i8]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation. CoRR abs/2011.03168 (2020) - [i7]Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung, Richard M. Murray:
Rules of the Road: Towards Safety and Liveness Guarantees for Autonomous Vehicles. CoRR abs/2011.14148 (2020) - [i6]Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions. CoRR abs/2012.05457 (2020)
2010 – 2019
- 2019
- [c38]Karena X. Cai, Alexei Harvard, Richard M. Murray, Soon-Jo Chung:
Robust Estimation Framework with Semantic Measurements. ACC 2019: 3809-3816 - [c37]Yashwanth Kumar Nakka, Soon-Jo Chung:
Trajectory Optimization for Chance-Constrained Nonlinear Stochastic Systems. CDC 2019: 3811-3818 - [c36]Hiroyasu Tsukamoto, Soon-Jo Chung:
Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis. CDC 2019: 8196-8203 - [c35]Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural Lander: Stable Drone Landing Control Using Learned Dynamics. ICRA 2019: 9784-9790 - [i5]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. CoRR abs/1906.05819 (2019) - 2018
- [j21]Saptarshi Bandyopadhyay, Soon-Jo Chung:
Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks. Autom. 97: 7-17 (2018) - [j20]Martin Miller, Soon-Jo Chung, Seth Hutchinson:
The Visual-Inertial Canoe Dataset. Int. J. Robotics Res. 37(1): 13-20 (2018) - [j19]Jonathan Hoff, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson:
Optimizing the structure and movement of a robotic bat with biological kinematic synergies. Int. J. Robotics Res. 37(10) (2018) - [j18]Kevin C. Meier, Soon-Jo Chung, Seth Hutchinson:
Visual-inertial curve simultaneous localization and mapping: Creating a sparse structured world without feature points. J. Field Robotics 35(4): 516-544 (2018) - [j17]Soon-Jo Chung, Aditya A. Paranjape, Philip M. Dames, Shaojie Shen, Vijay Kumar:
Guest Editorial Special Section on Aerial Swarm Robotics. IEEE Trans. Robotics 34(4): 835-836 (2018) - [j16]Soon-Jo Chung, Aditya A. Paranjape, Philip M. Dames, Shaojie Shen, Vijay Kumar:
A Survey on Aerial Swarm Robotics. IEEE Trans. Robotics 34(4): 837-855 (2018) - [j15]Aditya A. Paranjape, Soon-Jo Chung, Kyunam Kim, David Hyunchul Shim:
Robotic Herding of a Flock of Birds Using an Unmanned Aerial Vehicle. IEEE Trans. Robotics 34(4): 901-915 (2018) - [c34]Xichen Shi, Kyunam Kim, Salar Rahili, Soon-Jo Chung:
Nonlinear Control of Autonomous Flying Cars with Wings and Distributed Electric Propulsion. CDC 2018: 5326-5333 - [c33]Salar Rahili, Benjamin Rivière, Suzanne Olivier, Soon-Jo Chung:
Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. ICDM Workshops 2018: 556-563 - [i4]Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural Lander: Stable Drone Landing Control using Learned Dynamics. CoRR abs/1811.08027 (2018) - 2017
- [j14]Junho Yang, Ashwin P. Dani, Soon-Jo Chung, Seth Hutchinson:
Vision-based Localization and Robot-centric Mapping in Riverine Environments. J. Field Robotics 34(3): 429-450 (2017) - [j13]Soon-Jo Chung, Seth Hutchinson:
A biomimetic robotic platform to study flight specializations of bats. Sci. Robotics 2(3) (2017) - [j12]Saptarshi Bandyopadhyay, Soon-Jo Chung, Fred Y. Hadaegh:
Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents. IEEE Trans. Robotics 33(5): 1103-1123 (2017) - [c32]