Denniston, Christopher E.; Peltzer, Oriana; Ott, Joshua; Moon, Sangwoo; Kim, Sung-Kyun; Sukhatme, Gaurav S.; Kochenderfer, Mykel J.; Schwager, Mac; Agha-mohammadi, Ali-akbar: Fast and Scalable Signal Inference for Active Robotic Source Seeking. CoRR, vol. abs/2301.02362, 2023
Senbaslar, Baskin; Sukhatme, Gaurav S.: DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments. CoRR, vol. abs/2307.15887, 2023
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Rayas Fernández, Isabel M.; Denniston, Christopher E.; Caron, David A.; Sukhatme, Gaurav S.: Informative Path Planning to Estimate Quantiles for Environmental Analysis. IEEE Robotics and Automation Letters, 2022. (RA-L) Presented in IEEE International Conference on Intelligent Robots and Systems, 2022. (IROS), 2022
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Senbaslar, Baskin; Sukhatme, Gaurav S.: Asynchronous Real-time Decentralized Multi-Robot Trajectory Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, pp. 9972-9979, IEEE, 2022
Salhotra, Gautam; Denniston, Christopher E.; Caron, David A.; Sukhatme, Gaurav S.: Adaptive Sampling using POMDPs with Domain-Specific Considerations. International Conference on Robotics and Automation (ICRA 2020), 2021
Liu, I-Chun Arthur; Uppal, Shagun; Sukhatme, Gaurav S.; Lim, Joseph J.; Englert, Peter; Lee, Youngwoon: Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. Faust, Aleksandra; Hsu, David; Neumann, Gerhard (Ed.): Conference on Robot Learning, 8-11 November 2021, London, UK, pp. 641-650, PMLR, 2021
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Salhotra, Gautam; Denniston, Christopher E.; Caron, David A.; Sukhatme, Gaurav S.: Adaptive Sampling using POMDPs with Domain-Specific Considerations. IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, pp. 2385-2391, IEEE, 2021
Heiden, Eric; Palmieri, Luigi; Bruns, Leonard; Arras, Kai Oliver; Sukhatme, Gaurav S.; Koenig, Sven: Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots. IEEE Robotics Autom. Lett., vol. 6, no. 3, pp. 4536-4543, 2021
Englert, Peter; Rayas Fernández, Isabel M.; Ramachandran, Ragesh Kumar; Sukhatme, Gaurav S.: Sampling-Based Motion Planning on Sequenced Manifolds. Robotics: Science and Systems, 2021. (RSS), 2021
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Heiden, Eric; Palmieri, Luigi; Arras, Kai Oliver; Sukhatme, Gaurav S.; Koenig, Sven: Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. CoRR, vol. abs/2003.03543, 2020
Rayas Fernández, Isabel M.; Sutanto, Giovanni; Englert, Peter; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.: Learning Manifolds for Sequential Motion Planning. RSS 2020 Learning (in) Task and Motion Planning Workshop, 2020
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Sutanto, Giovanni; Rayas Fernández, Isabel M.; Englert, Peter; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.: Learning Equality Constraints for Motion Planning on Manifolds. CoRR, vol. abs/2009.11852, 2020
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Ghosh, Pradipta; Tabuada, Paulo; Govindan, Ramesh; Sukhatme, Gaurav S.: Persistent Connected Power Constrained Surveillance with Unmanned Aerial Vehicles. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 1501-1508, IEEE, 2020
Yamada, Jun; Lee, Youngwoon; Salhotra, Gautam; Pertsch, Karl; Pflueger, Max; Sukhatme, Gaurav S.; Lim, Joseph J.; Englert, Peter: Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. Kober, Jens; Ramos, Fabio; Tomlin, Claire J. (Ed.): 4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA, pp. 589-603, PMLR, 2020
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR, vol. abs/1901.00921, 2019
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR, vol. abs/1901.01229, 2019
Heiden, Eric; Palmieri, Luigi; Koenig, Sven; Arras, Kai Oliver; Sukhatme, Gaurav S.: Gradient-Informed Path Smoothing for Wheeled Mobile Robots. 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, pp. 1710-1717, IEEE, 2018
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, pp. 7063-7070, IEEE, 2018
Denniston, Chris; Krogstad, Thomas R.; Kemna, Stephanie; Sukhatme, Gaurav S.: Planning Safe Paths through Hazardous Environments. CoRR, vol. abs/1803.00664, 2018
Zhang, Hejia; Heiden, Eric; Julian, Ryan; He, Zhangpeng; Lim, Joseph J.; Sukhatme, Gaurav S.: Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR, vol. abs/1810.00146, 2018
Liu, Lantao; Sukhatme, Gaurav S.: A Solution to Time-Varying Markov Decision Processes. IEEE Robotics Autom. Lett., vol. 3, no. 3, pp. 1631-1638, 2018
Hünig, Wolfgang; Preiss, James A.; Kumar, T. K. Satish; Sukhatme, Gaurav S.; Ayanian, Nora: Trajectory Planning for Quadrotor Swarms. IEEE Trans. Robotics, vol. 34, no. 4, pp. 856-869, 2018
Preiss, James A.; Hünig, Wolfgang; Ayanian, Nora; Sukhatme, Gaurav S.: Downwash-aware trajectory planning for large quadrotor teams. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, pp. 250-257, IEEE, 2017
Heiden, Eric; Hausman, Karol; Sukhatme, Gaurav S.; Agha-mohammadi, Ali-akbar: Planning high-speed safe trajectories in confidence-rich maps. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, pp. 2880-2886, IEEE, 2017
Ma, Zhibei; Yin, Kai; Liu, Lantao; Sukhatme, Gaurav S.: A spatio-temporal representation for the orienteering problem with time-varying profits. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, pp. 6785-6792, IEEE, 2017
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Reachability and Differential Based Heuristics for Solving Markov Decision Processes. Amato, Nancy M.; Hager, Greg; Thomas, Shawna L.; Torres-Torriti, Miguel (Ed.): Robotics Research, The 18th International Symposium, ISRR 2017, Puerto Varas, Chile, December 11-14, 2017, pp. 387-404, Springer, 2017
Preiss, James A.; Hausman, Karol; Sukhatme, Gaurav S.; Weiss, Stephan: Trajectory Optimization for Self-Calibration and Navigation. Amato, Nancy M.; Srinivasa, Siddhartha S.; Ayanian, Nora; Kuindersma, Scott (Ed.): Robotics: Science and Systems XIII, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, July 12-16, 2017, 2017
Ma, Kai-Chieh; Liu, Lantao; Sukhatme, Gaurav S.: An information-driven and disturbance-aware planning method for long-term ocean monitoring. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, pp. 2102-2108, IEEE, 2016
Ma, Zhibei; Liu, Lantao; Sukhatme, Gaurav S.: An adaptive k-opt method for solving traveling salesman problem. 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, pp. 6537-6543, IEEE, 2016
Liu, Lantao; Sukhatme, Gaurav S.: Making Decisions with Spatially and Temporally Uncertain Data. CoRR, vol. abs/1605.01018, 2016
Ma, Zhibei; Yin, Kai; Liu, Lantao; Sukhatme, Gaurav S.: A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits. CoRR, vol. abs/1611.08037, 2016
Subbaraya, Supreeth; Breitenmoser, Andreas; Molchanov, Artem; Mþller, Jürg; Oberg, Carl; Caron, David A.; Sukhatme, Gaurav S.: Circling the Seas: Design of Lagrangian Drifters for Ocean Monitoring. IEEE Robotics Autom. Mag., vol. 23, no. 4, pp. 42-53, 2016
Hollinger, Geoffrey A.; Pereira, Arvind; Binney, Jonathan; Somers, Thane; Sukhatme, Gaurav S.: Learning Uncertainty in Ocean Current Predictions for Safe and Reliable Navigation of Underwater Vehicles. J. Field Robotics, vol. 33, no. 1, pp. 47-66, 2016
Potthast, Christian; Breitenmoser, Andreas; Sha, Fei; Sukhatme, Gaurav S.: Active Multi-view Object Recognition and Online Feature Selection. Bicchi, Antonio; Burgard, Wolfram (Ed.): Robotics Research, Proceedings of the 17th International Symposium of Robotics Research, ISRR 2015, Sestri Levante, Italy, September 12-15, 2015, Volume 2, pp. 471-488, Springer, 2015
Pflueger, Max; Sukhatme, Gaurav S.: Multi-step planning for robotic manipulation. IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, pp. 2496-2501, IEEE, 2015
Hausman, Karol; Niekum, Scott; Osentoski, Sarah; Sukhatme, Gaurav S.: Active articulation model estimation through interactive perception. IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, pp. 3305-3312, IEEE, 2015
Bhattacharya, Subhrajit; Kim, Soonkyum; Heidarsson, Hordur Kristinn; Sukhatme, Gaurav S.; Kumar, Vijay: A topological approach to using cables to separate and manipulate sets of objects. Int. J. Robotics Res., vol. 34, no. 6, pp. 799-815, 2015
Hollinger, Geoffrey A.; Sukhatme, Gaurav S.: Trajectory learning for human-robot scientific data collection. 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, pp. 6600-6605, IEEE, 2014
Mþller, Jürg; Sukhatme, Gaurav S.: Risk-aware trajectory generation with application to safe quadrotor landing. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, IL, USA, September 14-18, 2014, pp. 3642-3648, IEEE, 2014
Righetti, Ludovic; Kalakrishnan, Mrinal; Pastor, Peter; Binney, Jonathan; Kelly, Jonathan; Voorhies, Randolph; Sukhatme, Gaurav S.; Schaal, Stefan: An autonomous manipulation system based on force control and optimization. Auton. Robots, vol. 36, no. 1-2, pp. 11-30, 2014
Hollinger, Geoffrey A.; Sukhatme, Gaurav S.: Sampling-based robotic information gathering algorithms. Int. J. Robotics Res., vol. 33, no. 9, pp. 1271-1287, 2014
Smith, Ryan N.; Kelly, Jonathan; Nazarzadeh, Kimia; Sukhatme, Gaurav S.: An investigation on the accuracy of Regional Ocean Models through field trials. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, pp. 3436-3442, IEEE, 2013
Gupta, Megha; Rþhr, Thomas; Beetz, Michael; Sukhatme, Gaurav S.: Interactive environment exploration in clutter. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, November 3-7, 2013, pp. 5265-5272, IEEE, 2013
Vieira, Marcos Augusto M.; Taylor, Matthew E.; Tandon, Prateek; Jain, Manish; Govindan, Ramesh; Sukhatme, Gaurav S.; Tambe, Milind: Mitigating multi-path fading in a mobile mesh network. Ad Hoc Networks, vol. 11, no. 4, pp. 1510-1521, 2013
Binney, Jonathan; Krause, Andreas; Sukhatme, Gaurav S.: Optimizing waypoints for monitoring spatiotemporal phenomena. Int. J. Robotics Res., vol. 32, no. 8, pp. 873-888, 2013
Pereira, Arvind; Binney, Jonathan; Hollinger, Geoffrey A.; Sukhatme, Gaurav S.: Risk-aware Path Planning for Autonomous Underwater Vehicles using Predictive Ocean Models. J. Field Robotics, vol. 30, no. 5, pp. 741-762, 2013
Kim, Soonkyum; Bhattacharya, Subhrajit; Heidarsson, Hordur Kristinn; Sukhatme, Gaurav S.; Kumar, Vijay: A Topological Approach to Using Cables to Separate and Manipulate Sets of Objects. Newman, Paul; Fox, Dieter; Hsu, David (Ed.): Robotics: Science and Systems IX, Technische Universitît Berlin, Berlin, Germany, June 24 - June 28, 2013, 2013
Hollinger, Geoffrey A.; Sukhatme, Gaurav S.: Sampling-based Motion Planning for Robotic Information Gathering. Newman, Paul; Fox, Dieter; Hsu, David (Ed.): Robotics: Science and Systems IX, Technische Universitît Berlin, Berlin, Germany, June 24 - June 28, 2013, 2013
Hollinger, Geoffrey A.; Choudhuri, Chiranjib; Mitra, Urbashi; Sukhatme, Gaurav S.: Squared error distortion metrics for motion planning in robotic sensor networks. Workshops Proceedings of the Global Communications Conference, GLOBECOM 2013, Atlanta, GA, USA, December 9-13, 2013, pp. 1426-1431, IEEE, 2013
Binney, Jonathan; Sukhatme, Gaurav S.: Branch and bound for informative path planning. IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA, pp. 2147-2154, IEEE, 2012
Smith, Ryan N.; Kelly, Jonathan; Sukhatme, Gaurav S.: Towards improving mission execution for autonomous gliders with an ocean model and kalman filter. IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA, pp. 4870-4877, IEEE, 2012
Hollinger, Geoffrey A.; Choudhary, Sunav; Qarabaqi, Parastoo; Murphy, Christopher; Mitra, Urbashi; Sukhatme, Gaurav S.; Stojanovic, Milica; Singh, Hanumant; Hover, Franz: Underwater Data Collection Using Robotic Sensor Networks. IEEE J. Sel. Areas Commun., vol. 30, no. 5, pp. 899-911, 2012
Kobilarov, Marin; Marsden, Jerrold E.; Sukhatme, Gaurav S.: Global estimation in constrained environments. Int. J. Robotics Res., vol. 31, no. 1, pp. 24-41, 2012
Pereira, Arvind; Binney, Jonathan; Jones, Burton H.; Ragan, Matthew; Sukhatme, Gaurav S.: Toward risk aware mission planning for Autonomous Underwater Vehicles. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011, San Francisco, CA, USA, September 25-30, 2011, pp. 3147-3153, IEEE, 2011
Smith, Ryan N.; Schwager, Mac; Smith, Stephen L.; Rus, Daniela; Sukhatme, Gaurav S.: Persistent ocean monitoring with underwater gliders: Towards accurate reconstruction of dynamic ocean processes. IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, pp. 1517-1524, IEEE, 2011
Hummel, Robert; Poduri, Sameera; Hover, Franz; Mitra, Urbashi; Sukhatme, Gaurav S.: Mission design for compressive sensing with mobile robots. IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, pp. 2362-2367, IEEE, 2011
Arrichiello, Filippo; Heidarsson, Hordur Kristinn; Chiaverini, Stefano; Sukhatme, G. Stefano: Cooperative caging using autonomous aquatic surface vehicles. IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, Alaska, USA, 3-7 May 2010, pp. 4763-4769, IEEE, 2010
Smith, Ryan N.; Pereira, Arvind; Chao, Yi; Li, Peggy; Caron, David A.; Jones, Burton H.; Sukhatme, Gaurav S.: Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study. IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, Alaska, USA, 3-7 May 2010, pp. 4770-4777, IEEE, 2010
Borgstrom, Per Henrik; Batalin, Maxim A.; Sukhatme, Gaurav S.; Kaiser, William J.: Weighted barrier functions for computation of force distributions with friction cone constraints. IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, Alaska, USA, 3-7 May 2010, pp. 785-792, IEEE, 2010
Jung, Boyoon; Sukhatme, Gaurav S.: Real-time Motion Tracking from a Mobile Robot. Int. J. Soc. Robotics, vol. 2, no. 1, pp. 63-78, 2010
Smith, Ryan N.; Chao, Yi; Jones, Burton H.; Caron, David A.; Li, Peggy; Sukhatme, Gaurav S.: Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature Tracking. Howard, Andrew; Iagnemma, Karl; Kelly, Alonzo (Ed.): Field and Service Robotics, Results of the 7th International Conference, FSR 2009, Cambridge, Massachusetts, USA, 14-16 July 2009, pp. 263-273, Springer, 2009
Arrichiello, Filippo; Das, Jnaneshwar; Heidarsson, Hordur Kristinn; Pereira, Arvind; Chiaverini, Stefano; Sukhatme, Gaurav S.: Multi-Robot Collaboration with Range-Limited Communication: Experiments with Two Underactuated ASVs. Howard, Andrew; Iagnemma, Karl; Kelly, Alonzo (Ed.): Field and Service Robotics, Results of the 7th International Conference, FSR 2009, Cambridge, Massachusetts, USA, 14-16 July 2009, pp. 443-453, Springer, 2009
Borgstrom, Per Henrik; Borgstrom, Nils Peter; Stealey, Michael J.; Jordan, Brett L.; Sukhatme, Gaurav S.; Batalin, Maxim A.; Kaiser, William J.: Design and Implementation of NIMS3D, a 3-D Cabled Robot for Actuated Sensing Applications. IEEE Trans. Robotics, vol. 25, no. 2, pp. 325-339, 2009
Borgstrom, Per Henrik; Jordan, Brett L.; Sukhatme, Gaurav S.; Batalin, Maxim A.; Kaiser, William J.: Rapid Computation of Optimally Safe Tension Distributions for Parallel Cable-Driven Robots. IEEE Trans. Robotics, vol. 25, no. 6, pp. 1271-1281, 2009
Hrabar, Stefan; Sukhatme, Gaurav S.: Vision-based navigation through urban canyons. J. Field Robotics, vol. 26, no. 5, pp. 431-452, 2009
Borgstrom, Per Henrik; Borgstrom, Nils Peter; Stealey, Michael J.; Jordan, Brett L.; Sukhatme, Gaurav S.; Batalin, Maxim A.; Kaiser, William J.: Generation of energy efficient trajectories for NIMS3D, a three-dimensional cabled robot. 2008 IEEE International Conference on Robotics and Automation, ICRA 2008, May 19-23, 2008, Pasadena, California, USA, pp. 2222-2227, IEEE, 2008
Borgstrom, Per Henrik; Singh, Amarjeet; Jordan, Brett L.; Sukhatme, Gaurav S.; Batalin, Maxim A.; Kaiser, William J.: Energy based path planning for a novel cabled robotic system. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Acropolis Convention Center, Nice, France, pp. 1745-1751, IEEE, 2008
Sukhatme, Gaurav S.: Session 10: Sensing and Planning. Khatib, Oussama; Kumar, Vijay; Pappas, George J. (Ed.): Experimental Robotics, The Eleventh International Symposium, ISER 2008, July 13-16, 2008, Athens, Greece, pp. 439-440, Springer, 2008
Kobilarov, Marin; Sukhatme, Gaurav S.: Optimal Control Using Nonholonomic Integrators. 2007 IEEE International Conference on Robotics and Automation, ICRA 2007, 10-14 April 2007, Roma, Italy, pp. 1832-1837, IEEE, 2007
Saripalli, Srikanth; Sukhatme, Gaurav S.: Landing a Helicopter on a Moving Target. 2007 IEEE International Conference on Robotics and Automation, ICRA 2007, 10-14 April 2007, Roma, Italy, pp. 2030-2035, IEEE, 2007
Borgstrom, Per Henrik; Borgstrom, Nils Peter; Stealey, Michael J.; Jordan, Brett L.; Sukhatme, Gaurav S.; Batalin, Maxim A.; Kaiser, William J.: Discrete trajectory control algorithms for NIMS3D, an autonomous underconstrained three-dimensional cabled robot. 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29 - November 2, 2007, Sheraton Hotel and Marina, San Diego, California, USA, pp. 253-260, IEEE, 2007
Kansal, Aman; Kaiser, William J.; Pottie, Gregory J.; Srivastava, Mani B.; Sukhatme, Gaurav S.: Reconfiguration methods for mobile sensor networks. ACM Trans. Sens. Networks, vol. 3, no. 4, pp. 22, 2007
Kobilarov, Marin; Desbrun, Mathieu; Marsden, Jerrold E.; Sukhatme, Gaurav S.: A Discrete Geometric Optimal Control Framework for Systems with Symmetries. Burgard, Wolfram; Brock, Oliver; Stachniss, Cyrill (Ed.): Robotics: Science and Systems III, June 27-30, 2007, Georgia Institute of Technology, Atlanta, Georgia, USA, The MIT Press, 2007
Hrabar, Stefan; Sukhatme, Gaurav S.: Optimum Camera Angle for Optic Flow-Based Centering Response. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006, October 9-15, 2006, Beijing, China, pp. 3922-3927, IEEE, 2006
Brock, Oliver; Koenig, Sven; Roy, Nicholas; Sukhatme, Gaurav S.: Editorial: Special Issue on Robotics: Science and Systems 2005. Int. J. Robotics Res., vol. 25, no. 12, pp. 1163, 2006
Lee, Sangyoon; Sukhatme, Gaurav S.; Kim, Gerard Jounghyun; Park, Chan-Mo: Haptic Teleoperation of a Mobile Robot: A User Study. Presence Teleoperators Virtual Environ., vol. 14, no. 3, pp. 345-365, 2005
Kobilarov, Marin; Sukhatme, Gaurav S.: Near Time-optimal Constrained Trajectory Planning on Outdoor Terrain. Proceedings of the 2005 IEEE International Conference on Robotics and Automation, ICRA 2005, April 18-22, 2005, Barcelona, Spain, pp. 1821-1828, IEEE, 2005
Dantu, Karthik; Rahimi, Mohammad H.; Shah, Hardik; Babel, Sandeep; Dhariwal, Amit; Sukhatme, Gaurav S.: Robomote: enabling mobility in sensor networks. Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005, April 25-27, 2005, UCLA, Los Angeles, California, USA, pp. 404-409, IEEE, 2005
Hrabar, Stefan; Sukhatme, Gaurav S.: A comparison of two camera configurations for optic-flow based navigation of a UAV through urban canyons. 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28 - October 2, 2004, pp. 2673-2680, IEEE, 2004
Tews, Ashley; Mataric, Maja J.; Sukhatme, Gaurav S.: Avoiding detection in a dynamic environment. 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28 - October 2, 2004, pp. 3773-3778, IEEE, 2004
Harbick, Kale; Montgomery, James F.; Sukhatme, Gaurav S.: Planar Spline Trajectory Following for an Autonomous Helicopter. J. Adv. Comput. Intell. Intell. Informatics, vol. 8, no. 3, pp. 237-242, 2004
Birgersson, Emil; Howard, Andrew; Sukhatme, Gaurav S.: Towards stealthy behaviors. 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27 - November 1, 2003, pp. 1703-1708, IEEE, 2003
Lee, Sangyoon; Sukhatme, Gaurav S.; Kim, Gerard Jounghyun; Park, Chan-Mo: Haptic control of a mobile robot: a user study. IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30 - October 4, 2002, pp. 2867-2874, IEEE, 2002
Silverman, Milo C.; Nies, Dan; Jung, Boyoon; Sukhatme, Gaurav S.: Staying Alive: A Docking Station for Autonomous Robot Recharging. Proceedings of the 2002 IEEE International Conference on Robotics and Automation, ICRA 2002, May 11-15, 2002, Washington, DC, USA, pp. 1050-1055, IEEE, 2002
Gerkey, Brian P.; Mataric, Maja J.; Sukhatme, Gaurav S.: Exploiting Physical Dynamics for Concurrent Control of a Mobile Robot. Proceedings of the 2002 IEEE International Conference on Robotics and Automation, ICRA 2002, May 11-15, 2002, Washington, DC, USA, pp. 3467-3472, IEEE, 2002
Harbick, Kale; Sukhatme, Gaurav S.: Controlling Hopping Height of a Pneumatic Monopod. Proceedings of the 2002 IEEE International Conference on Robotics and Automation, ICRA 2002, May 11-15, 2002, Washington, DC, USA, pp. 3998-4003, IEEE, 2002
Harbick, Kale; Montgomery, James F.; Sukhatme, Gaurav S.: Planar spline trajectory following for an autonomous helicopter. Zhang, Hong (Ed.): Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Integrating Intelligent Machines with Humans for a Better Tomorrow, CIRA 2001, Banff, Alberta, Canada, July 29 - August 1, 2001, pp. 408-413, IEEE, 2001
Sukhatme, Gaurav S.; Brizius, Scott; Bekey, George A.: Evaluating the mobility of a wheeled robot using dynamic modeling. Adv. Robotics, vol. 12, no. 5, pp. 579-591, 1997
Sukhatme, Gaurav S.: The Design and Control of a Prototype Quadruped Microrover. Auton. Robots, vol. 4, no. 2, pp. 211-220, 1997
Sukhatme, Gaurav S.; Brizius, Scott; Bekey, George A.: Mobility evaluation of a wheeled microrover using a dynamic model. Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, September 7-11, 1997, Grenoble, France, pp. 1506-1512, IEEE, 1997
Sukhatme, Gaurav S.; Lewis, M. Anthony; Bekey, George A.: Mission Reachability for Extraterrestrial Rovers. Proceedings of the 1995 International Conference on Robotics and Automation, Nagoya, Aichi, Japan, May 21-27, 1995, pp. 1964-1969, IEEE Computer Society, 1995
Iberall, Thea; Sukhatme, Gaurav S.; Beattie, Denise; Bekey, George A.: Control philosophy and simulation of a robotic hand as a model for prosthetic hands. Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1993, Tokyo, Japan, July 26 - 30, 1993, pp. 824-831, IEEE, 1993
Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments.
Choosing locations for scientific analysis by using a robot to perform an informative path planning survey.
We investigate improving Monte Carlo Tree Search based solvers for Partially Observable Markov Decision Processes (POMDPs), when applied to adaptive sampling problems. We propose improvements in rollout allocation, the action exploration algorithm, and plan commitment. The first allocates a different number of rollouts depending on how many actions the agent has taken in an episode. We find that rollouts are more valuable after some initial information is gained about the environment. Thus, a linear increase in the number of rollouts, i.e. allocating a fixed number at each step, is not appropriate for adaptive sampling tasks. The second alters which actions the agent chooses to explore when building the planning tree. We find that by using knowledge of the number of rollouts allocated, the agent can more effectively choose actions to explore. The third improvement is in determining how many actions the agent should take from one plan. Typically, an agent will plan to take the first action from the planning tree and then call the planner again from the new state. Using statistical techniques, we show that it is possible to greatly reduce the number of rollouts by increasing the number of actions taken from a single planning tree without affecting the agent’s final reward. Finally, we demonstrate experimentally, on simulated and real aquatic data from an underwater robot, that these improvements can be combined, leading to better adaptive sampling. Accepted at ICRA 2021 The first two authors had an equal contribution
Constrained robot motion planning is a widely used technique to solve complex robot tasks. We consider the problem of learning representations of constraints from demonstrations with a deep neural network, which we call Equality Constraint Manifold Neural Network (ECoMaNN). The idea behind it is to learn a level-set function of the constraint by aligning subspaces in the network with sub-spaces of the data such that it can be integrated into a constrained sampling-based motion planner. We combine both learned constraints and analytically described constraints into the planner and use a projection-based strategy to find valid points. We evaluate ECoMaNN on its representation capabilities of constraint manifolds, the impact of its individual loss terms, and the motions produced with it.
This work is in collaboration with the USC ACT Lab.
