Simultaneous self-calibration and navigation using trajectory optimization.

Preiss, James A.; Hausman, Karol; Sukhatme, Gaurav S.; Weiss, Stephan: Simultaneous self-calibration and navigation using trajectory optimization. Int. J. Robotics Res., vol. 37, no. 13-14, 2018

Data-driven learning and planning for environmental sampling.

Ma, Kai-Chieh; Liu, Lantao; Heidarsson, Hordur Kristinn; Sukhatme, Gaurav S.: Data-driven learning and planning for environmental sampling. J. Field Robotics, vol. 35, no. 5, pp. 643-661, 2018

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.

Julian, Ryan; Heiden, Eric; He, Zhanpeng; Zhang, Hejia; Schaal, Stefan; Lim, Joseph J.; Sukhatme, Gaurav S.; Hausman, Karol: Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. Xiao, Jing; Krüger, Torsten; Khatib, Oussama (Ed.): Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018, pp. 267-279, Springer, 2018

On-Line Coordination Tasks for Multi-robot Systems Using Adaptive Informative Sampling.

Nieto-Granda, Carlos; III, John G. Rogers; Fung, Nicholas; Kemna, Stephanie; Christensen, Henrik I.; Sukhatme, Gaurav S.: On-Line Coordination Tasks for Multi-robot Systems Using Adaptive Informative Sampling. Xiao, Jing; Krüger, Torsten; Khatib, Oussama (Ed.): Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018, pp. 318-327, Springer, 2018

Regrasping Using Tactile Perception and Supervised Policy Learning.

Chebotar, Yevgen; Hausman, Karol; Kroemer, Oliver; Sukhatme, Gaurav S.; Schaal, Stefan: Regrasping Using Tactile Perception and Supervised Policy Learning. 2017 AAAI Spring Symposia, Stanford University, Palo Alto, California, USA, March 27-29, 2017, AAAI Press, 2017

Multi-robot coordination through dynamic Voronoi partitioning for informative adaptive sampling in communication-constrained environments.

Kemna, Stephanie; Rogers, John G.; Nieto-Granda, Carlos; Young, Stuart; Sukhatme, Gaurav S.: Multi-robot coordination through dynamic Voronoi partitioning for informative adaptive sampling in communication-constrained environments. 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, pp. 2124-2130, IEEE, 2017

Crazyswarm: A large nano-quadcopter swarm.

Preiss, James A.; Hünig, Wolfgang; Sukhatme, Gaurav S.; Ayanian, Nora: Crazyswarm: A large nano-quadcopter swarm. 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, pp. 3299-3304, IEEE, 2017

Informative planning and online learning with sparse Gaussian processes.

Ma, Kai-Chieh; Liu, Lantao; Sukhatme, Gaurav S.: Informative planning and online learning with sparse Gaussian processes. 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, pp. 4292-4298, IEEE, 2017

Feature selection for learning versatile manipulation skills based on observed and desired trajectories.

Kroemer, Oliver; Sukhatme, Gaurav S.: Feature selection for learning versatile manipulation skills based on observed and desired trajectories. 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, pp. 4713-4720, IEEE, 2017

Downwash-aware trajectory planning for large quadrotor teams.

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

Planning high-speed safe trajectories in confidence-rich maps.

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

A spatio-temporal representation for the orienteering problem with time-varying profits.

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

Reachability and Differential Based Heuristics for Solving Markov Decision Processes.

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

Confidence-Rich Grid Mapping.

Agha-mohammadi, Ali-akbar; Heiden, Eric; Hausman, Karol; Sukhatme, Gaurav S.: Confidence-Rich Grid Mapping. 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. 623-641, Springer, 2017

Trajectory Optimization for Self-Calibration and Navigation.

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

Data-Driven Learning and Planning for Environmental Sampling.

Ma, Kai-Chieh; Liu, Lantao; Heidarsson, Hordur Kristinn; Sukhatme, Gaurav S.: Data-Driven Learning and Planning for Environmental Sampling. CoRR, vol. abs/1702.01848, 2017

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.

Hausman, Karol; Chebotar, Yevgen; Schaal, Stefan; Sukhatme, Gaurav S.; Lim, Joseph J.: Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. Guyon, Isabelle; Luxburg, Ulrike; Bengio, Samy; Wallach, Hanna M.; Fergus, Rob; Vishwanathan, S. V. N.; Garnett, Roman (Ed.): Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, pp. 1235-1245, 2017

Observability-Aware Trajectory Optimization for Self-Calibration With Application to UAVs.

Hausman, Karol; Preiss, James A.; Sukhatme, Gaurav S.; Weiss, Stephan: Observability-Aware Trajectory Optimization for Self-Calibration With Application to UAVs. IEEE Robotics Autom. Lett., vol. 2, no. 3, pp. 1770-1777, 2017

Generalized Topology Control for Nonholonomic Teams With Discontinuous Interactions.

Williams, Ryan K.; Gasparri, Andrea; Ulivi, Giovanni; Sukhatme, Gaurav S.: Generalized Topology Control for Nonholonomic Teams With Discontinuous Interactions. IEEE Trans. Robotics, vol. 33, no. 4, pp. 994-1001, 2017

Interactive Perception: Leveraging Action in Perception and Perception in Action.

Bohg, Jeannette; Hausman, Karol; Sankaran, Bharath; Brock, Oliver; Kragic, Danica; Schaal, Stefan; Sukhatme, Gaurav S.: Interactive Perception: Leveraging Action in Perception and Perception in Action. IEEE Trans. Robotics, vol. 33, no. 6, pp. 1273-1291, 2017

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning.

Chebotar, Yevgen; Hausman, Karol; Zhang, Marvin; Sukhatme, Gaurav S.; Schaal, Stefan; Levine, Sergey: Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. Precup, Doina; Teh, Yee Whye (Ed.): Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp. 703-711, PMLR, 2017

Learning spatial preconditions of manipulation skills using random forests.

Kroemer, Oliver; Sukhatme, Gaurav S.: Learning spatial preconditions of manipulation skills using random forests. 16th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2016, Cancun, Mexico, November 15-17, 2016, pp. 676-683, IEEE, 2016

Occlusion-aware multi-robot 3D tracking.

Hausman, Karol; Kahn, Gregory; Patil, Sachin; Mþller, Jürg; Goldberg, Ken; Abbeel, Pieter; Sukhatme, Gaurav S.: Occlusion-aware multi-robot 3D tracking. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, pp. 1863-1870, IEEE, 2016

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning.

Chebotar, Yevgen; Hausman, Karol; Su, Zhe; Sukhatme, Gaurav S.; Schaal, Stefan: Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, pp. 1960-1966, IEEE, 2016

An information-driven and disturbance-aware planning method for long-term ocean monitoring.

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

Contact localization on grasped objects using tactile sensing.

Molchanov, Artem; Kroemer, Oliver; Su, Zhe; Sukhatme, Gaurav S.: Contact localization on grasped objects using tactile sensing. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, pp. 216-222, IEEE, 2016

Online trajectory optimization to improve object recognition.

Potthast, Christian; Sukhatme, Gaurav S.: Online trajectory optimization to improve object recognition. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, pp. 4765-4772, IEEE, 2016

An adaptive k-opt method for solving traveling salesman problem.

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

Maximizing the Weighted Number of Spanning Trees: Near-textdollarttextdollar-Optimal Graphs.

Khosoussi, Kasra; Sukhatme, Gaurav S.; Huang, Shoudong; Dissanayake, Gamini: Maximizing the Weighted Number of Spanning Trees: Near-textdollarttextdollar-Optimal Graphs. CoRR, vol. abs/1604.01116, 2016

Making Decisions with Spatially and Temporally Uncertain Data.

Liu, Lantao; Sukhatme, Gaurav S.: Making Decisions with Spatially and Temporally Uncertain Data. CoRR, vol. abs/1605.01018, 2016

Learning Relevant Features for Manipulation Skills using Meta-Level Priors.

Kroemer, Oliver; Sukhatme, Gaurav S.: Learning Relevant Features for Manipulation Skills using Meta-Level Priors. CoRR, vol. abs/1605.04439, 2016

Toward a Science of Autonomy for Physical Systems: Defense.

Arkin, Ronald C.; Sukhatme, Gaurav S.: Toward a Science of Autonomy for Physical Systems: Defense. CoRR, vol. abs/1609.05782, 2016

Toward a Science of Autonomy for Physical Systems: Aerial Earth Science.

Hsieh, M. Ani; Saripalli, Srikanth; Sukhatme, Gaurav S.; Kumar, Vijay: Toward a Science of Autonomy for Physical Systems: Aerial Earth Science. CoRR, vol. abs/1609.05783, 2016

Informative Planning and Online Learning with Sparse Gaussian Processes.

Ma, Kai-Chieh; Liu, Lantao; Sukhatme, Gaurav S.: Informative Planning and Online Learning with Sparse Gaussian Processes. CoRR, vol. abs/1609.07560, 2016

A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits.

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

Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach.

Khosoussi, Kasra; Sukhatme, Gaurav S.; Huang, Shoudong; Dissanayake, Gamini: Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach. Goldberg, Ken; Abbeel, Pieter; Bekris, Kostas E.; Miller, Lauren (Ed.): Algorithmic Foundations of Robotics XII, Proceedings of the Twelfth Workshop on the Algorithmic Foundations of Robotics, WAFR 2016, San Francisco, California, USA, December 18-20, 2016, pp. 17-32, Springer, 2016

Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring.

Ma, Kai-Chieh; Ma, Zhibei; Liu, Lantao; Sukhatme, Gaurav S.: Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring. Groë, Roderich; Kolling, Andreas; Berman, Spring; Frazzoli, Emilio; Martinoli, Alcherio; Matsuno, Fumitoshi; Gauci, Melvin (Ed.): Distributed Autonomous Robotic Systems, The 13th International Symposium, DARS 2016, Natural History Museum, London, UK, November 7-9, 2016, pp. 285-298, Springer, 2016

Circling the Seas: Design of Lagrangian Drifters for Ocean Monitoring.

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

Learning Uncertainty in Ocean Current Predictions for Safe and Reliable Navigation of Underwater Vehicles.

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

Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV.

Hausman, Karol; Weiss, Stephan; Brockers, Roland; Matthies, Larry H.; Sukhatme, Gaurav S.: Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV. Kragic, Danica; Bicchi, Antonio; Luca, Alessandro De (Ed.): 2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016, pp. 4289-4296, IEEE, 2016

Meta-level Priors for Learning Manipulation Skills with Sparse Features.

Kroemer, Oliver; Sukhatme, Gaurav S.: Meta-level Priors for Learning Manipulation Skills with Sparse Features. Kulic, Dana; Nakamura, Yoshihiko; Khatib, Oussama; Venture, Gentiane (Ed.): International Symposium on Experimental Robotics, ISER 2016, Tokyo, Japan, October 3-6, 2016, pp. 211-222, Springer, 2016

Generalizing Regrasping with Supervised Policy Learning.

Chebotar, Yevgen; Hausman, Karol; Kroemer, Oliver; Sukhatme, Gaurav S.; Schaal, Stefan: Generalizing Regrasping with Supervised Policy Learning. Kulic, Dana; Nakamura, Yoshihiko; Khatib, Oussama; Venture, Gentiane (Ed.): International Symposium on Experimental Robotics, ISER 2016, Tokyo, Japan, October 3-6, 2016, pp. 622-632, Springer, 2016

Active multi-view object recognition: A unifying view on online feature selection and view planning.

Potthast, Christian; Breitenmoser, Andreas; Sha, Fei; Sukhatme, Gaurav S.: Active multi-view object recognition: A unifying view on online feature selection and view planning. Robotics Auton. Syst., vol. 84, pp. 31-47, 2016

Multiple Mobile Robot Systems.

Parker, Lynne E.; Rus, Daniela; Sukhatme, Gaurav S.: Multiple Mobile Robot Systems. Siciliano, Bruno; Khatib, Oussama (Ed.): Springer Handbook of Robotics, pp. 1335-1384, Springer, 2016

Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals.

Su, Zhe; Kroemer, Oliver; Loeb, Gerald E.; Sukhatme, Gaurav S.; Schaal, Stefan: Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals. Tuci, Elio; Giagkos, Alexandros; Wilson, Myra S.; Hallam, John (Ed.): From Animals to Animats 14 - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings, pp. 170-182, Springer, 2016

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor.

Su, Zhe; Hausman, Karol; Chebotar, Yevgen; Molchanov, Artem; Loeb, Gerald E.; Sukhatme, Gaurav S.; Schaal, Stefan: Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor. 15th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2015, Seoul, South Korea, November 3-5, 2015, pp. 297-303, IEEE, 2015

Interactive affordance map building for a robotic task.

Kim, David Inkyu; Sukhatme, Gaurav S.: Interactive affordance map building for a robotic task. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, Hamburg, Germany, September 28 - October 2, 2015, pp. 4581-4586, IEEE, 2015

Redundantly rigid topologies in decentralized multi-agent networks.

Williams, Ryan K.; Gasparri, Andrea; Soffietti, Matteo; Sukhatme, Gaurav S.: Redundantly rigid topologies in decentralized multi-agent networks. 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, pp. 6101-6108, IEEE, 2015

Active Multi-view Object Recognition and Online Feature Selection.

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

Structured sparse methods for active ocean observation systems with communication constraints.

Mitra, Urbashi; Choudhary, Sunav; Hover, Franz S.; Hummel, Robert; Kumar, Naveen; Narayanan, Shrikanth S.; Stojanovic, Milica; Sukhatme, Gaurav S.: Structured sparse methods for active ocean observation systems with communication constraints. IEEE Commun. Mag., vol. 53, no. 11, pp. 88-96, 2015

Global connectivity control for spatially interacting multi-robot systems with unicycle kinematics.

Williams, Ryan K.; Gasparri, Andrea; Sukhatme, Gaurav S.; Ulivi, Giovanni: Global connectivity control for spatially interacting multi-robot systems with unicycle kinematics. IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, pp. 1255-1261, IEEE, 2015

Observability in topology-constrained multi-robot target tracking.

Williams, Ryan K.; Sukhatme, Gaurav S.: Observability in topology-constrained multi-robot target tracking. IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, pp. 1795-1801, IEEE, 2015

Multi-step planning for robotic manipulation.

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

Active articulation model estimation through interactive perception.

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

Active drifters: Towards a practical multi-robot system for ocean monitoring.

Molchanov, Artem; Breitenmoser, Andreas; Sukhatme, Gaurav S.: Active drifters: Towards a practical multi-robot system for ocean monitoring. IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, pp. 545-552, IEEE, 2015

Using Manipulation Primitives for Object Sorting in Cluttered Environments.

Gupta, Megha; Mþller, Jürg; Sukhatme, Gaurav S.: Using Manipulation Primitives for Object Sorting in Cluttered Environments. IEEE Trans Autom. Sci. Eng., vol. 12, no. 2, pp. 608-614, 2015

Rigidity-Preserving Team Partitions in Multiagent Networks.

Carboni, Daniela; Williams, Ryan K.; Gasparri, Andrea; Ulivi, Giovanni; Sukhatme, Gaurav S.: Rigidity-Preserving Team Partitions in Multiagent Networks. IEEE Trans. Cybern., vol. 45, no. 12, pp. 2640-2653, 2015

Decentralized and Parallel Constructions for Optimally Rigid Graphs in R2.

Gasparri, Andrea; Williams, Ryan K.; Priolo, Attilio; Sukhatme, Gaurav S.: Decentralized and Parallel Constructions for Optimally Rigid Graphs in R2. IEEE Trans. Mob. Comput., vol. 14, no. 11, pp. 2216-2228, 2015

Distributed Data Fusion for Multirobot Search.

Hollinger, Geoffrey A.; Yerramalli, Srinivas; Singh, Sanjiv; Mitra, Urbashi; Sukhatme, Gaurav S.: Distributed Data Fusion for Multirobot Search. IEEE Trans. Robotics, vol. 31, no. 1, pp. 55-66, 2015

Data-driven robotic sampling for marine ecosystem monitoring.

Das, Jnaneshwar; Py, FrØdØric; Harvey, Julio B. J.; Ryan, John P.; Gellene, Alyssa; Graham, Rishi; Caron, David A.; Rajan, Kanna; Sukhatme, Gaurav S.: Data-driven robotic sampling for marine ecosystem monitoring. Int. J. Robotics Res., vol. 34, no. 12, pp. 1435-1452, 2015

Cooperative multi-robot control for target tracking with onboard sensing.

Hausman, Karol; Mþller, Jürg; Hariharan, Abishek; Ayanian, Nora; Sukhatme, Gaurav S.: Cooperative multi-robot control for target tracking with onboard sensing. Int. J. Robotics Res., vol. 34, no. 13, pp. 1660-1677, 2015

A topological approach to using cables to separate and manipulate sets of objects.

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

CARLOC: Precise Positioning of Automobiles.

Jiang, Yurong; Qiu, Hang; McCartney, Matthew; Sukhatme, Gaurav S.; Gruteser, Marco; Bai, Fan; Grimm, Donald; Govindan, Ramesh: CARLOC: Precise Positioning of Automobiles. Song, Junehwa; Abdelzaher, Tarek F.; Mascolo, Cecilia (Ed.): Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, South Korea, November 1-4, 2015, pp. 253-265, ACM, 2015

Poster: CARLOC: Precisely Tracking Automobile Position.

Jiang, Yurong; Qiu, Hang; McCartney, Matthew; Sukhatme, Gaurav S.; Gruteser, Marco; Bai, Fan; Grimm, Donald; Govindan, Ramesh: Poster: CARLOC: Precisely Tracking Automobile Position. Song, Junehwa; Abdelzaher, Tarek F.; Mascolo, Cecilia (Ed.): Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, South Korea, November 1-4, 2015, pp. 411-412, ACM, 2015

Decentralized algorithms for optimally rigid network constructions.

Priolo, Attilio; Williams, Ryan K.; Gasparri, Andrea; Sukhatme, Gaurav S.: Decentralized algorithms for optimally rigid network constructions. 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, pp. 5010-5015, IEEE, 2014

Semantic labeling of 3D point clouds with object affordance for robot manipulation.

Kim, David Inkyu; Sukhatme, Gaurav S.: Semantic labeling of 3D point clouds with object affordance for robot manipulation. 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, pp. 5578-5584, IEEE, 2014

Trajectory learning for human-robot scientific data collection.

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

Risk-aware trajectory generation with application to safe quadrotor landing.

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

A study of position independent algorithms for phone-based gait frequency detection.

Tarashansky, Alexander; Vathsangam, Harshvardhan; Sukhatme, Gaurav S.: A study of position independent algorithms for phone-based gait frequency detection. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, IL, USA, August 26-30, 2014, pp. 5984-5987, IEEE, 2014

An autonomous manipulation system based on force control and optimization.

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

Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena.

Chen, Jie; Low, Kian Hsiang; Tan, Colin Keng-Yan; Oran, Ali; Jaillet, Patrick; Dolan, John M.; Sukhatme, Gaurav S.: Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR, vol. abs/1408.2046, 2014

Active Online Calibration of Multiple Sensors for Autonomous Surface Vessels.

Heidarsson, Hordur Kristinn; Sukhatme, Gaurav S.: Active Online Calibration of Multiple Sensors for Autonomous Surface Vessels. Hsieh, M. Ani; Khatib, Oussama; Kumar, Vijay (Ed.): Experimental Robotics - The 14th International Symposium on Experimental Robotics, ISER 2014, June 15-18, 2014, Marrakech and Essaouira, Morocco, pp. 229-241, Springer, 2014

Adaptive Path Planning for Tracking Ocean Fronts with an Autonomous Underwater Vehicle.

Smith, Ryan N.; Cooksey, Philip; Py, Frederic; Sukhatme, Gaurav S.; Rajan, Kanna: Adaptive Path Planning for Tracking Ocean Fronts with an Autonomous Underwater Vehicle. Hsieh, M. Ani; Khatib, Oussama; Kumar, Vijay (Ed.): Experimental Robotics - The 14th International Symposium on Experimental Robotics, ISER 2014, June 15-18, 2014, Marrakech and Essaouira, Morocco, pp. 761-775, Springer, 2014

Cooperative Control for Target Tracking with Onboard Sensing.

Hausman, Karol; Mþller, Jürg; Hariharan, Abishek; Ayanian, Nora; Sukhatme, Gaurav S.: Cooperative Control for Target Tracking with Onboard Sensing. Hsieh, M. Ani; Khatib, Oussama; Kumar, Vijay (Ed.): Experimental Robotics - The 14th International Symposium on Experimental Robotics, ISER 2014, June 15-18, 2014, Marrakech and Essaouira, Morocco, pp. 879-892, Springer, 2014

Hierarchical Approaches to Estimate Energy Expenditure Using Phone-Based Accelerometers.

Vathsangam, Harshvardhan; Schroeder, E. Todd; Sukhatme, Gaurav S.: Hierarchical Approaches to Estimate Energy Expenditure Using Phone-Based Accelerometers. IEEE J. Biomed. Health Informatics, vol. 18, no. 4, pp. 1242-1252, 2014

Evaluating Network Rigidity in Realistic Systems: Decentralization, Asynchronicity, and Parallelization.

Williams, Ryan K.; Gasparri, Andrea; Priolo, Attilio; Sukhatme, Gaurav S.: Evaluating Network Rigidity in Realistic Systems: Decentralization, Asynchronicity, and Parallelization. IEEE Trans. Robotics, vol. 30, no. 4, pp. 950-965, 2014

Determining the Time Delay Between Inertial and Visual Sensor Measurements.

Kelly, Jonathan; Roy, Nicholas; Sukhatme, Gaurav S.: Determining the Time Delay Between Inertial and Visual Sensor Measurements. IEEE Trans. Robotics, vol. 30, no. 6, pp. 1514-1523, 2014

Sampling-based robotic information gathering algorithms.

Hollinger, Geoffrey A.; Sukhatme, Gaurav S.: Sampling-based robotic information gathering algorithms. Int. J. Robotics Res., vol. 33, no. 9, pp. 1271-1287, 2014

A probabilistic framework for next best view estimation in a cluttered environment.

Potthast, Christian; Sukhatme, Gaurav S.: A probabilistic framework for next best view estimation in a cluttered environment. J. Vis. Commun. Image Represent., vol. 25, no. 1, pp. 148-164, 2014

Topology-constrained flocking in locally interacting mobile networks.

Williams, Ryan K.; Sukhatme, Gaurav S.: Topology-constrained flocking in locally interacting mobile networks. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, pp. 2002-2007, IEEE, 2013

Learning task error models for manipulation.

Pastor, Peter; Kalakrishnan, Mrinal; Binney, Jonathan; Kelly, Jonathan; Righetti, Ludovic; Sukhatme, Gaurav S.; Schaal, Stefan: Learning task error models for manipulation. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, pp. 2612-2618, IEEE, 2013

An investigation on the accuracy of Regional Ocean Models through field trials.

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

Hierarchical probabilistic regression for AUV-based adaptive sampling of marine phenomena.

Das, Jnaneshwar; Harvey, Julio B. J.; Py, Frederic; Vathsangam, Harshvardhan; Graham, Rishi; Rajan, Kanna; Sukhatme, Gaurav S.: Hierarchical probabilistic regression for AUV-based adaptive sampling of marine phenomena. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, pp. 5571-5578, IEEE, 2013

Learning uncertainty models for reliable operation of Autonomous Underwater Vehicles.

Hollinger, Geoffrey A.; Pereira, Arvind; Sukhatme, Gaurav S.: Learning uncertainty models for reliable operation of Autonomous Underwater Vehicles. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, pp. 5593-5599, IEEE, 2013

Locally constrained connectivity control in mobile robot networks.

Williams, Ryan K.; Sukhatme, Gaurav S.: Locally constrained connectivity control in mobile robot networks. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, pp. 901-906, IEEE, 2013

Decentralized generic rigidity evaluation in interconnected systems.

Williams, Ryan K.; Gasparri, Andrea; Priolo, Attilio; Sukhatme, Gaurav S.: Decentralized generic rigidity evaluation in interconnected systems. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, November 3-7, 2013, pp. 5093-5099, IEEE, 2013

Interactive environment exploration in clutter.

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

Mitigating multi-path fading in a mobile mesh network.

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

An autonomous Wireless Networked Robotics System for backbone deployment in highly-obstructed environments.

Vieira, Marcos Augusto M.; Govindan, Ramesh; Sukhatme, Gaurav S.: An autonomous Wireless Networked Robotics System for backbone deployment in highly-obstructed environments. Ad Hoc Networks, vol. 11, no. 7, pp. 1963-1974, 2013

Constrained Interaction and Coordination in Proximity-Limited Multiagent Systems.

Williams, Ryan K.; Sukhatme, Gaurav S.: Constrained Interaction and Coordination in Proximity-Limited Multiagent Systems. IEEE Trans. Robotics, vol. 29, no. 4, pp. 930-944, 2013

Active planning for underwater inspection and the benefit of adaptivity.

Hollinger, Geoffrey A.; Englot, Brendan J.; Hover, Franz S.; Mitra, Urbashi; Sukhatme, Gaurav S.: Active planning for underwater inspection and the benefit of adaptivity. Int. J. Robotics Res., vol. 32, no. 1, pp. 3-18, 2013

Editorial.

Sadler, Brian M.; Rus, Daniela; Sukhatme, Gaurav S.: Editorial. Int. J. Robotics Res., vol. 32, no. 12, pp. 1361-1362, 2013

Optimizing waypoints for monitoring spatiotemporal phenomena.

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

Hierarchical linear models for energy prediction using inertial sensors: a comparative study for treadmill walking.

Vathsangam, Harshvardhan; Emken, B. Adar; Schroeder, E. Todd; Spruijt-Metz, Donna; Sukhatme, Gaurav S.: Hierarchical linear models for energy prediction using inertial sensors: a comparative study for treadmill walking. J. Ambient Intell. Humaniz. Comput., vol. 4, no. 6, pp. 747-758, 2013

Risk-aware Path Planning for Autonomous Underwater Vehicles using Predictive Ocean Models.

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

An innovative methodology for detection and quantification of cracks through incorporation of depth perception.

Jahanshahi, Mohammad R.; Masri, Sami F.; Padgett, Curtis W.; Sukhatme, Gaurav S.: An innovative methodology for detection and quantification of cracks through incorporation of depth perception. Mach. Vis. Appl., vol. 24, no. 2, pp. 227-241, 2013

Towards practical energy expenditure estimation with mobile phones.

Vathsangam, Harshvardhan; Zhang, Mi; Tarashansky, Alexander; Sawchuk, Alexander A.; Sukhatme, Gaurav S.: Towards practical energy expenditure estimation with mobile phones. Matthews, Michael B. (Ed.): 2013 Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 3-6, 2013, pp. 74-79, IEEE, 2013

A Topological Approach to Using Cables to Separate and Manipulate Sets of Objects.

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

Sampling-based Motion Planning for Robotic Information Gathering.

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

Distributed combinatorial rigidity control in multi-agent networks.

Williams, Ryan K.; Gasparri, Andrea; Priolo, Attilio; Sukhatme, Gaurav S.: Distributed combinatorial rigidity control in multi-agent networks. Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, pp. 6061-6066, IEEE, 2013