Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDGaurav S. Sukhatme
G. Stefano Sukhatme
Person information
- affiliation: University of Southern California, Los Angeles, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[c258]Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. ICCCN 2020: 1-9- [c257]Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. ICRA 2020: 2595-2601 - [c256]Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in multi-robot target tracking through reconfiguration. ICRA 2020: 4551-4557 - [i49]David Millard, Eric Heiden, Shubham Agrawal, Gaurav S. Sukhatme:
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. CoRR abs/2001.08539 (2020) - [i48]Giovanni Sutanto, Austin Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier:
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR abs/2001.08861 (2020) - [i47]Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin S. Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. CoRR abs/2002.04244 (2020) - [i46]Eric Heiden, Luigi Palmieri, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig:
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. CoRR abs/2003.03543 (2020) - [i45]Pradipta Ghosh, Xiaochen Liu, Hang Qiu, Marcos Augusto M. Vieira, Gaurav S. Sukhatme, Ramesh Govindan:
On Localizing a Camera from a Single Image. CoRR abs/2003.10664 (2020) - [i44]Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration. CoRR abs/2004.07197 (2020) - [i43]Ryan Julian, Benjamin Swanson, Gaurav S. Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman:
Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation. CoRR abs/2004.10190 (2020) - [i42]Max Pflueger, Gaurav S. Sukhatme:
Plan-Space State Embeddings for Improved Reinforcement Learning. CoRR abs/2004.14567 (2020) - [i41]Peter Englert, Isabel M. Rayas Fernández, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Sampling-Based Motion Planning on Manifold Sequences. CoRR abs/2006.02027 (2020) - [i40]Isabel M. Rayas Fernández, Giovanni Sutanto, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Learning Manifolds for Sequential Motion Planning. CoRR abs/2006.07746 (2020) - [i39]Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme:
Confidence-rich grid mapping. CoRR abs/2006.15754 (2020) - [i38]Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier:
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR abs/2007.00450 (2020) - [i37]Eric Heiden, David Millard, Erwin Coumans, Gaurav S. Sukhatme:
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap. CoRR abs/2007.06045 (2020) - [i36]Ragesh K. Ramachandran, Pietro Pierpaoli, Magnus Egerstedt, Gaurav S. Sukhatme:
Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration. CoRR abs/2008.01321 (2020) - [i35]Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Learning Equality Constraints for Motion Planning on Manifolds. CoRR abs/2009.11852 (2020) - [i34]Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert:
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRR abs/2010.11940 (2020) - [i33]Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme:
NeuralSim: Augmenting Differentiable Simulators with Neural Networks. CoRR abs/2011.04217 (2020)
2010 – 2019
- 2019
- [j93]Kasra Khosoussi, Matthew Giamou, Gaurav S. Sukhatme, Shoudong Huang
, Gamini Dissanayake, Jonathan P. How:
Reliable Graphs for SLAM. Int. J. Robotics Res. 38(2-3) (2019) - [j92]Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme:
Confidence-rich grid mapping. Int. J. Robotics Res. 38(12-13) (2019) - [j91]Max Pflueger, Ali-Akbar Agha-Mohammadi, Gaurav S. Sukhatme:
Rover-IRL: Inverse Reinforcement Learning With Soft Value Iteration Networks for Planetary Rover Path Planning. IEEE Robotics Autom. Lett. 4(2): 1387-1394 (2019) - [c255]Nicholas Fung, John G. Rogers III, Carlos Nieto, Henrik I. Christensen, Stephanie Kemna, Gaurav S. Sukhatme:
Coordinating multi-robot systems through environment partitioning for adaptive informative sampling. ICRA 2019: 3231-3237 - [c254]Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme:
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. IROS 2019: 59-66 - [c253]Alexander S. Koumis, James A. Preiss, Gaurav S. Sukhatme:
Estimating Metric Scale Visual Odometry from Videos using 3D Convolutional Networks. IROS 2019: 265-272 - [c252]Ragesh K. Ramachandran, James A. Preiss, Gaurav S. Sukhatme:
Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. IROS 2019: 6518-6525 - [i32]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR abs/1901.00921 (2019) - [i31]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR abs/1901.01229 (2019) - [i30]Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR abs/1901.01977 (2019) - [i29]Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme:
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. CoRR abs/1903.04628 (2019) - [i28]Ragesh K. Ramachandran, James A. Preiss, Gaurav S. Sukhatme:
Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. CoRR abs/1903.04856 (2019) - [i27]Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme:
Interactive Differentiable Simulation. CoRR abs/1905.10706 (2019) - [i26]Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme:
Meta-Learning via Learned Loss. CoRR abs/1906.05374 (2019) - [i25]Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in multi-robot target tracking through reconfiguration. CoRR abs/1910.01300 (2019) - [i24]Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. CoRR abs/1910.01917 (2019) - [i23]Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. CoRR abs/1912.01652 (2019) - 2018
- [j90]Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli:
Toward an Internet of Battlefield Things: A Resilience Perspective. Computer 51(11): 24-36 (2018) - [j89]James A. Preiss, Karol Hausman, Gaurav S. Sukhatme, Stephan Weiss:
Simultaneous self-calibration and navigation using trajectory optimization. Int. J. Robotics Res. 37(13-14) (2018) - [j88]Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme:
Data-driven learning and planning for environmental sampling. J. Field Robotics 35(5): 643-661 (2018) - [j87]Lantao Liu, Gaurav S. Sukhatme:
A Solution to Time-Varying Markov Decision Processes. IEEE Robotics Autom. Lett. 3(3): 1631-1638 (2018) - [j86]Wolfgang Hönig, James A. Preiss, T. K. Satish Kumar, Gaurav S. Sukhatme, Nora Ayanian:
Trajectory Planning for Quadrotor Swarms. IEEE Trans. Robotics 34(4): 856-869 (2018) - [c251]Chen Huang, Lantao Liu, Gaurav S. Sukhatme:
Learning to Act in Partially Structured Dynamic Environment. AAAI Spring Symposia 2018 - [c250]Arnout Devos, Jakob Dhondt, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Gaurav S. Sukhatme:
Profit Maximizing Logistic Regression Modeling for Credit Scoring. DSW 2018: 125-129 - [c249]Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli:
Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. ICDCS 2018: 1129-1138 - [c248]Eric Heiden, Luigi Palmieri, Sven Koenig, Kai Oliver Arras, Gaurav S. Sukhatme:
Gradient-Informed Path Smoothing for Wheeled Mobile Robots. ICRA 2018: 1710-1717 - [c247]Zhe Su, Oliver Kroemer, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal:
Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals. ICRA 2018: 2758-2765 - [c246]Stephanie Kemna, Oliver Kroemer, Gaurav S. Sukhatme:
Pilot Surveys for Adaptive Informative Sampling. ICRA 2018: 6417-6424 - [c245]Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS 2018: 1-9 - [c244]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS 2018: 7063-7070 - [c243]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER 2018: 267-279 - [c242]Carlos Nieto-Granda, John G. Rogers III, Nicholas Fung, Stephanie Kemna, Henrik I. Christensen, Gaurav S. Sukhatme:
On-Line Coordination Tasks for Multi-robot Systems Using Adaptive Informative Sampling. ISER 2018: 318-327 - [i22]Chris Denniston, Thomas R. Krogstad, Stephanie Kemna, Gaurav S. Sukhatme:
Planning Safe Paths through Hazardous Environments. CoRR abs/1803.00664 (2018) - [i21]Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav S. Sukhatme:
Region Growing Curriculum Generation for Reinforcement Learning. CoRR abs/1807.01425 (2018) - [i20]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. CoRR abs/1809.10253 (2018) - [i19]Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR abs/1810.00146 (2018) - [i18]Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR abs/1810.02422 (2018) - 2017
- [j85]Karol Hausman, James A. Preiss, Gaurav S. Sukhatme, Stephan Weiss:
Observability-Aware Trajectory Optimization for Self-Calibration With Application to UAVs. IEEE Robotics Autom. Lett. 2(3): 1770-1777 (2017) - [j84]Ryan K. Williams, Andrea Gasparri, Giovanni Ulivi, Gaurav S. Sukhatme:
Generalized Topology Control for Nonholonomic Teams With Discontinuous Interactions. IEEE Trans. Robotics 33(4): 994-1001 (2017) - [j83]Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme:
Interactive Perception: Leveraging Action in Perception and Perception in Action. IEEE Trans. Robotics 33(6): 1273-1291 (2017) - [c241]Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal:
Regrasping Using Tactile Perception and Supervised Policy Learning. AAAI Spring Symposia 2017 - [c240]Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine:
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. ICML 2017: 703-711 - [c239]Stephanie Kemna, John G. Rogers, Carlos Nieto-Granda, Stuart Young, Gaurav S. Sukhatme:
Multi-robot coordination through dynamic Voronoi partitioning for informative adaptive sampling in communication-constrained environments. ICRA 2017: 2124-2130 - [c238]James A. Preiss, Wolfgang Hönig, Gaurav S. Sukhatme, Nora Ayanian:
Crazyswarm: A large nano-quadcopter swarm. ICRA 2017: 3299-3304 - [c237]Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme:
Informative planning and online learning with sparse Gaussian processes. ICRA 2017: 4292-4298 - [c236]Oliver Kroemer, Gaurav S. Sukhatme:
Feature selection for learning versatile manipulation skills based on observed and desired trajectories. ICRA 2017: 4713-4720 - [c235]James A. Preiss, Wolfgang Hönig, Nora Ayanian, Gaurav S. Sukhatme:
Downwash-aware trajectory planning for large quadrotor teams. IROS 2017: 250-257 - [c234]Eric Heiden, Karol Hausman, Gaurav S. Sukhatme, Ali-akbar Agha-mohammadi:
Planning high-speed safe trajectories in confidence-rich maps. IROS 2017: 2880-2886 - [c233]Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme:
A spatio-temporal representation for the orienteering problem with time-varying profits. IROS 2017: 6785-6792 - [c232]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR 2017: 387-404 - [c231]Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme:
Confidence-Rich Grid Mapping. ISRR 2017: 623-641 - [c230]Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim:
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. NIPS 2017: 1235-1245 - [c229]James A. Preiss, Karol Hausman, Gaurav S. Sukhatme, Stephan Weiss:
Trajectory Optimization for Self-Calibration and Navigation. Robotics: Science and Systems 2017 - [i17]Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme:
Data-Driven Learning and Planning for Environmental Sampling. CoRR abs/1702.01848 (2017) - [i16]Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine:
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. CoRR abs/1703.03078 (2017) - [i15]James A. Preiss, Wolfgang Hönig, Nora Ayanian, Gaurav S. Sukhatme:
Downwash-Aware Trajectory Planning for Large Quadcopter Teams. CoRR abs/1704.04852 (2017) - [i14]Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim:
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. CoRR abs/1705.10479 (2017) - 2016
- [j82]Geoffrey A. Hollinger, Arvind Pereira, Jonathan Binney, Thane Somers, Gaurav S. Sukhatme:
Learning Uncertainty in Ocean Current Predictions for Safe and Reliable Navigation of Underwater Vehicles. J. Field Robotics 33(1): 47-66 (2016) - [j81]Supreeth Subbaraya, Andreas Breitenmoser, Artem Molchanov, Jörg Müller, Carl Oberg, David A. Caron, Gaurav S. Sukhatme:
Circling the Seas: Design of Lagrangian Drifters for Ocean Monitoring. IEEE Robotics Autom. Mag. 23(4): 42-53 (2016) - [j80]Christian Potthast, Andreas Breitenmoser, Fei Sha, Gaurav S. Sukhatme:
Active multi-view object recognition: A unifying view on online feature selection and view planning. Robotics Auton. Syst. 84: 31-47 (2016) - [c228]Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme:
An adaptive k-opt method for solving traveling salesman problem. CDC 2016: 6537-6543 - [c227]Kai-Chieh Ma, Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme:
Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring. DARS 2016: 285-298 - [c226]Oliver Kroemer, Gaurav S. Sukhatme:
Learning spatial preconditions of manipulation skills using random forests. Humanoids 2016: 676-683 - [c225]Karol Hausman, Stephan Weiss, Roland Brockers, Larry H. Matthies, Gaurav S. Sukhatme:
Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV. ICRA 2016: 4289-4296 - [c224]Artem Molchanov, Oliver Kroemer, Zhe Su, Gaurav S. Sukhatme:
Contact localization on grasped objects using tactile sensing. IROS 2016: 216-222 - [c223]Karol Hausman, Gregory Kahn, Sachin Patil, Jörg Müller, Ken Goldberg, Pieter Abbeel, Gaurav S. Sukhatme:
Occlusion-aware multi-robot 3D tracking. IROS 2016: 1863-1870 - [c222]Yevgen Chebotar, Karol Hausman, Zhe Su, Gaurav S. Sukhatme, Stefan Schaal:
Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning. IROS 2016: 1960-1966 - [c221]Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme:
An information-driven and disturbance-aware planning method for long-term ocean monitoring. IROS 2016: 2102-2108 - [c220]Christian Potthast, Gaurav S. Sukhatme:
Online trajectory optimization to improve object recognition. IROS 2016: 4765-4772 - [c219]Oliver Kroemer, Gaurav S. Sukhatme:
Meta-level Priors for Learning Manipulation Skills with Sparse Features. ISER 2016: 211-222 - [c218]Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal:
Generalizing Regrasping with Supervised Policy Learning. ISER 2016: 622-632 - [c217]Zhe Su, Oliver Kroemer, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal:
Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals. SAB 2016: 170-182 - [c216]Kasra Khosoussi, Gaurav S. Sukhatme, Shoudong Huang, Gamini Dissanayake:
Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach. WAFR 2016: 17-32 - [p3]Lynne E. Parker, Daniela Rus, Gaurav S. Sukhatme:
Multiple Mobile Robot Systems. Springer Handbook of Robotics, 2nd Ed. 2016: 1335-1384 - [i13]Kasra Khosoussi, Gaurav S. Sukhatme, Shoudong Huang, Gamini Dissanayake:
Maximizing the Weighted Number of Spanning Trees: Near-$t$-Optimal Graphs. CoRR abs/1604.01116 (2016) - [i12]Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme:
Interactive Perception: Leveraging Action in Perception and Perception in Action. CoRR abs/1604.03670 (2016) - [i11]Karol Hausman, James A. Preiss, Gaurav S. Sukhatme, Stephan Weiss:
Observability-Aware Trajectory Optimization for Self-Calibration with Application to UAVs. CoRR abs/1604.07905 (2016) - [i10]Lantao Liu, Gaurav S. Sukhatme:
Making Decisions with Spatially and Temporally Uncertain Data. CoRR abs/1605.01018 (2016) - [i9]Oliver Kroemer, Gaurav S. Sukhatme:
Learning Relevant Features for Manipulation Skills using Meta-Level Priors. CoRR abs/1605.04439 (2016) - [i8]Ronald C. Arkin, Gaurav S. Sukhatme:
Toward a Science of Autonomy for Physical Systems: Defense. CoRR abs/1609.05782 (2016) - [i7]M. Ani Hsieh, Srikanth Saripalli, Gaurav S. Sukhatme, Vijay Kumar:
Toward a Science of Autonomy for Physical Systems: Aerial Earth Science. CoRR abs/1609.05783 (2016) - [i6]Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme:
Informative Planning and Online Learning with Sparse Gaussian Processes. CoRR abs/1609.07560 (2016) - [i5]Kasra Khosoussi, Gaurav S. Sukhatme, Shoudong Huang, Gamini Dissanayake:
Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach. CoRR abs/1611.00889 (2016) - [i4]Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme:
A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits. CoRR abs/1611.08037 (2016) - 2015
- [j79]Urbashi Mitra, Sunav Choudhary, Franz S. Hover, Robert Hummel, Naveen Kumar, Shrikanth S. Narayanan, Milica Stojanovic, Gaurav S. Sukhatme:
Structured sparse methods for active ocean observation systems with communication constraints. IEEE Commun. Mag. 53(11): 88-96 (2015) - [j78]Subhrajit Bhattacharya, Soonkyum Kim, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme, Vijay Kumar:
A topological approach to using cables to separate and manipulate sets of objects. Int. J. Robotics Res. 34(6): 799-815 (2015) - [j77]Jnaneshwar Das, Frédéric Py, Julio B. J. Harvey, John P. Ryan, Alyssa Gellene, Rishi Graham, David A. Caron, Kanna Rajan, Gaurav S. Sukhatme:
Data-driven robotic sampling for marine ecosystem monitoring. Int. J. Robotics Res. 34(12): 1435-1452 (2015) - [j76]Karol Hausman, Jörg Müller, Abishek Hariharan, Nora Ayanian, Gaurav S. Sukhatme:
Cooperative multi-robot control for target tracking with onboard sensing. Int. J. Robotics Res. 34(13): 1660-1677 (2015) - [j75]Megha Gupta, Jörg Müller, Gaurav S. Sukhatme:
Using Manipulation Primitives for Object Sorting in Cluttered Environments. IEEE Trans Autom. Sci. Eng. 12(2): 608-614 (2015) - [j74]Daniela Carboni, Ryan K. Williams, Andrea Gasparri, Giovanni Ulivi, Gaurav S. Sukhatme:
Rigidity-Preserving Team Partitions in Multiagent Networks. IEEE Trans. Cybern. 45(12): 2640-2653 (2015) - [j73]Andrea Gasparri, Ryan K. Williams, Attilio Priolo, Gaurav S. Sukhatme:
Decentralized and Parallel Constructionsfor Optimally Rigid Graphs in $\mathbb{R}^2$. IEEE Trans. Mob. Comput. 14(11): 2216-2228 (2015) - [j72]Geoffrey A. Hollinger, Srinivas Yerramalli, Sanjiv Singh, Urbashi Mitra, Gaurav S. Sukhatme:
Distributed Data Fusion for Multirobot Search. IEEE Trans. Robotics 31(1): 55-66 (2015) - [c215]Ryan K. Williams, Andrea Gasparri, Matteo Soffietti, Gaurav S. Sukhatme:
Redundantly rigid topologies in decentralized multi-agent networks. CDC 2015: 6101-6108 - [c214]Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal:
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor. Humanoids 2015: 297-303 - [c213]Artem Molchanov, Andreas Breitenmoser, Gaurav S. Sukhatme:
Active drifters: Towards a practical multi-robot system for ocean monitoring. ICRA 2015: 545-552 - [c212]Ryan K. Williams, Andrea Gasparri, Gaurav S. Sukhatme, Giovanni Ulivi:
Global connectivity control for spatially interacting multi-robot systems with unicycle kinematics. ICRA 2015: 1255-1261 - [c211]Ryan K. Williams, Gaurav S. Sukhatme:
Observability in topology-constrained multi-robot target tracking. ICRA 2015: 1795-1801 - [c210]Max Pflueger, Gaurav S. Sukhatme:
Multi-step planning for robotic manipulation. ICRA 2015: 2496-2501 - [c209]Karol Hausman, Scott Niekum, Sarah Osentoski, Gaurav S. Sukhatme:
Active articulation model estimation through interactive perception. ICRA 2015: 3305-3312 - [c208]David Inkyu Kim, Gaurav S. Sukhatme:
Interactive affordance map building for a robotic task. IROS 2015: 4581-4586 - [c207]Christian Potthast, Andreas Breitenmoser, Fei Sha, Gaurav S. Sukhatme:
Active Multi-view Object Recognition and Online Feature Selection. ISRR (2) 2015: 471-488 - [c206]Yurong Jiang, Hang Qiu, Matthew McCartney, Gaurav S. Sukhatme, Marco Gruteser, Fan Bai, Donald Grimm, Ramesh Govindan:
CARLOC: Precise Positioning of Automobiles. SenSys 2015: 253-265 - [c205]