Publications

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.

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Tang, Bingjie; Lin, Michael A.; Akinola, Iretiayo; Handa, Ankur; Sukhatme, Gaurav S.; Ramos, Fabio; Fox, Dieter; Narang, Yashraj S.: IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. Bekris, Kostas E.; Hauser, Kris; Herbert, Sylvia L.; Yu, Jingjin (Ed.): Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023
[Video] [Twitter] [Blog] [Website]

Language-Informed Transfer Learning for Embodied Household Activities.

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Jiang, Yuqian; Gao, Qiaozi; Thattai, Govind; Sukhatme, Gaurav S.: Language-Informed Transfer Learning for Embodied Household Activities. CoRR, vol. abs/2301.05318, 2023

RREx-BoT: Remote Referring Expressions with a Bag of Tricks.

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Sigurdsson, Gunnar A.; Thomason, Jesse; Sukhatme, Gaurav S.; Piramuthu, Robinson: RREx-BoT: Remote Referring Expressions with a Bag of Tricks. CoRR, vol. abs/2301.12614, 2023
[Blog] [Website]

Learned Parameter Selection for Robotic Information Gathering.

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Denniston, Christopher E.; Salhotra, Gautam; Kangaslahti, Akseli; Caron, David A.; Sukhatme, Gaurav S.: Learned Parameter Selection for Robotic Information Gathering. CoRR, vol. abs/2303.05022, 2023

Learning Robot Manipulation from Cross-Morphology Demonstration

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Salhotra, Gautam; Liu, I-Chun Arthur; Sukhatme, Gaurav S.: Learning Robot Manipulation from Cross-Morphology Demonstration Conference on Robot Learning (CoRL) 2023, 2023

Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams.

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Rayas Fernández, Isabel M.; Denniston, Christopher E.; Sukhatme, Gaurav S.: Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams. IEEE International Conference on Robotics and Automation (ICRA) 2023. Workshop on Communication Challenges in Multi-Robot Systems: Perception, Coordination, and Learning., 2023
[Video]

Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams.

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Rayas Fernández, Isabel M.; Denniston, Christopher E.; Sukhatme, Gaurav S.: Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams. Submitted to MRS 2023, 2023
[PDF] [Video]

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning.

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Batra, Sumeet; Tjanaka, Bryon; Fontaine, Matthew C.; Petrenko, Aleksei; Nikolaidis, Stefanos; Sukhatme, Gaurav S.: Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. Submitted to Neurips 2023, 2023
[Twitter]

Generating Behaviorally Diverse Policies with Latent Diffusion Models.

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Hegde, Shashank; Batra, Sumeet; Zentner, K. R.; Sukhatme, Gaurav S.: Generating Behaviorally Diverse Policies with Latent Diffusion Models. Submitted to Neurips 2023, 2023
[Twitter] [Website]

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control.

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Huang, Zhehui; Batra, Sumeet; Chen, Tao; Krupani, Rahul; Kumar, Tushar; Molchanov, Artem; Petrenko, Aleksei; Preiss, James A.; Yang, Zhaojing; Sukhatme, Gaurav S.: QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. CoRR, vol. abs/2306.09537, 2023

Sensing the Sensor: Estimating Camera Properties with Minimal Information.

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Ghosh, Pradipta; Liu, Xiaochen; Qiu, Hang; Vieira, Marcos A. M.; Sukhatme, Gaurav S.; Govindan, Ramesh: Sensing the Sensor: Estimating Camera Properties with Minimal Information. ACM Trans. Sens. Networks, vol. 18, no. 2, pp. 28:1-28:26, 2022

SSL Enables Learning from Sparse Rewards in Image-Goal Navigation.

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Majumdar, Arjun; Sigurdsson, Gunnar A.; Piramuthu, Robinson; Thomason, Jesse; Batra, Dhruv; Sukhatme, Gaurav S.: SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; SzepesvÆri, Csaba; Niu, Gang; Sabato, Sivan (Ed.): International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, pp. 14774-14785, PMLR, 2022

Privacy Preserving Visual Question Answering.

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Bara, Cristian-Paul; Ping, Qing; Mathur, Abhinav; Thattai, Govind; MV, Rohith; Sukhatme, Gaurav S.: Privacy Preserving Visual Question Answering. CoRR, vol. abs/2202.07712, 2022

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning.

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Sharma, Vasu; Goyal, Prasoon; Lin, Kaixiang; Thattai, Govind; Gao, Qiaozi; Sukhatme, Gaurav S.: CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR, vol. abs/2208.13626, 2022

Efficiently Learning Small Policies for Locomotion and Manipulation.

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Hegde, Shashank; Sukhatme, Gaurav S.: Efficiently Learning Small Policies for Locomotion and Manipulation. CoRR, vol. abs/2210.00140, 2022
[Video]

CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation.

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Dorbala, Vishnu Sashank; Sigurdsson, Gunnar A.; Piramuthu, Robinson; Thomason, Jesse; Sukhatme, Gaurav S.: CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation. CoRR, vol. abs/2211.16649, 2022

Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors.

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Mayya, Siddharth; Ramachandran, Ragesh K.; Zhou, Lifeng; Senthil, Vinay; Thakur, Dinesh; Sukhatme, Gaurav S.; Kumar, Vijay: Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors. IEEE Robotics Autom. Lett., vol. 7, no. 2, pp. 5615-5622, 2022

DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following.

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Gao, Xiaofeng; Gao, Qiaozi; Gong, Ran; Lin, Kaixiang; Thattai, Govind; Sukhatme, Gaurav S.: DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. IEEE Robotics Autom. Lett., vol. 7, no. 4, pp. 10049-10056, 2022

Learning Deformable Object Manipulation From Expert Demonstrations.

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Salhotra, Gautam; Liu, I-Chun Arthur; Dominguez-Kuhne, Marcus; Sukhatme, Gaurav S.: Learning Deformable Object Manipulation From Expert Demonstrations. IEEE Robotics Autom. Lett., vol. 7, no. 4, pp. 8775-8782, 2022

Efficient Multi-Task Learning via Iterated Single-Task Transfer.

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Zentner, K. R.; Puri, Ujjwal; Zhang, Yulun; Julian, Ryan; Sukhatme, Gaurav S.: Efficient Multi-Task Learning via Iterated Single-Task Transfer. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, pp. 10141-10146, IEEE, 2022

Learning to Act with Affordance-Aware Multimodal Neural SLAM.

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Jia, Zhiwei; Lin, Kaixiang; Zhao, Yizhou; Gao, Qiaozi; Thattai, Govind; Sukhatme, Gaurav S.: Learning to Act with Affordance-Aware Multimodal Neural SLAM. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, pp. 5877-5884, IEEE, 2022

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed.

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Sutanto, Giovanni; Rombach, Katharina; Chebotar, Yevgen; Su, Zhe; Schaal, Stefan; Sukhatme, Gaurav S.; Meier, Franziska: Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res., vol. 41, no. 13-14, pp. 1121-1145, 2022

Adaptive Sampling: Algorithmic vs. Human Waypoint Selection.

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Kemna, Stephanie; Kangaslahti, Sara; Kroemer, Oliver; Sukhatme, Gaurav S.: Adaptive Sampling: Algorithmic vs. Human Waypoint Selection. CoRR, vol. abs/2104.11962, 2021

Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams.

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Mayya, Siddharth; Ramachandran, Ragesh K.; Zhou, Lifeng; Sukhatme, Gaurav S.; Kumar, Vijay: Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. CoRR, vol. abs/2105.03813, 2021

Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning.

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Zentner, K. R.; Julian, Ryan; Puri, Ujjwal; Zhang, Yulun; Sukhatme, Gaurav S.: Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. CoRR, vol. abs/2106.13237, 2021

Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.

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Batra, Sumeet; Huang, Zhehui; Petrenko, Aleksei; Kumar, Tushar; Molchanov, Artem; Sukhatme, Gaurav S.: Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRR, vol. abs/2109.07735, 2021

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems.

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Prorok, Amanda; Malencia, Matthew; Carlone, Luca; Sukhatme, Gaurav S.; Sadler, Brian M.; Kumar, Vijay: Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR, vol. abs/2109.12343, 2021

A Simple Approach to Continual Learning by Transferring Skill Parameters.

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Zentner, K. R.; Julian, Ryan; Puri, Ujjwal; Zhang, Yulun; Sukhatme, Gaurav S.: A Simple Approach to Continual Learning by Transferring Skill Parameters. CoRR, vol. abs/2110.10255, 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.

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Roy, Nicholas; Posner, Ingmar; Barfoot, Tim D.; Beaudoin, Philippe; Bengio, Yoshua; Bohg, Jeannette; Brock, Oliver; Depatie, Isabelle; Fox, Dieter; Koditschek, Daniel E.; Lozano-PØrez, TomÆs; Mansinghka, Vikash; Pal, Christopher J.; Richards, Blake A.; Sadigh, Dorsa; Schaal, Stefan; Sukhatme, Gaurav S.; ThØrien, Denis; Toussaint, Marc; Panne, Michiel: From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR, vol. abs/2110.15245, 2021

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges.

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Zhao, Yizhou; Lin, Kaixiang; Jia, Zhiwei; Gao, Qiaozi; Thattai, Govind; Thomason, Jesse; Sukhatme, Gaurav S.: LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. CoRR, vol. abs/2111.05527, 2021

Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.

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Batra, Sumeet; Huang, Zhehui; Petrenko, Aleksei; Kumar, Tushar; Molchanov, Artem; Sukhatme, Gaurav S.: Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. Faust, Aleksandra; Hsu, David; Neumann, Gerhard (Ed.): Conference on Robot Learning, 8-11 November 2021, London, UK, pp. 576-586, PMLR, 2021

Resilience in Multirobot Multitarget Tracking With Unknown Number of Targets Through Reconfiguration.

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Ramachandran, Ragesh Kumar; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in Multirobot Multitarget Tracking With Unknown Number of Targets Through Reconfiguration. IEEE Trans. Control. Netw. Syst., vol. 8, no. 2, pp. 609-620, 2021

Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking.

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Heiden, Eric; Liu, Ziang; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.: Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, pp. 2595-2601, IEEE, 2020

Resilience in multi-robot target tracking through reconfiguration.

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Ramachandran, Ragesh K.; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in multi-robot target tracking through reconfiguration. 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, pp. 4551-4557, IEEE, 2020

Meta Learning via Learned Loss.

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Bechtle, Sarah; Molchanov, Artem; Chebotar, Yevgen; Grefenstette, Edward; Righetti, Ludovic; Sukhatme, Gaurav S.; Meier, Franziska: Meta Learning via Learned Loss. 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pp. 4161-4168, IEEE, 2020

On Localizing a Camera from a Single Image.

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Ghosh, Pradipta; Liu, Xiaochen; Qiu, Hang; Vieira, Marcos Augusto M.; Sukhatme, Gaurav S.; Govindan, Ramesh: On Localizing a Camera from a Single Image. CoRR, vol. abs/2003.10664, 2020

Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration.

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Ramachandran, Ragesh K.; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration. CoRR, vol. abs/2004.07197, 2020

Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation.

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Julian, Ryan; Swanson, Benjamin; Sukhatme, Gaurav S.; Levine, Sergey; Finn, Chelsea; Hausman, Karol: Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation. CoRR, vol. abs/2004.10190, 2020

Plan-Space State Embeddings for Improved Reinforcement Learning.

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Pflueger, Max; Sukhatme, Gaurav S.: Plan-Space State Embeddings for Improved Reinforcement Learning. CoRR, vol. abs/2004.14567, 2020

Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed.

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Sutanto, Giovanni; Rombach, Katharina; Chebotar, Yevgen; Su, Zhe; Schaal, Stefan; Sukhatme, Gaurav S.; Meier, Franziska: Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR, vol. abs/2007.00450, 2020

Mobile Robot Localization under Non-Gaussian noise using Correntropy Similarity Metric.

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Santos, Elerson Rubens Silva; Vieira, Marcos Augusto M.; Sukhatme, Gaurav S.: Mobile Robot Localization under Non-Gaussian noise using Correntropy Similarity Metric. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 8534-8539, IEEE, 2020

Scaling simulation-to-real transfer by learning a latent space of robot skills.

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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 a latent space of robot skills. Int. J. Robotics Res., vol. 39, no. 10-11, 2020

Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning.

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Julian, Ryan; Swanson, Benjamin; Sukhatme, Gaurav S.; Levine, Sergey; Finn, Chelsea; Hausman, Karol: Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning. 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. 2120-2136, PMLR, 2020

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning.

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Petrenko, Aleksei; Huang, Zhehui; Kumar, Tushar; Sukhatme, Gaurav S.; Koltun, Vladlen: Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, pp. 7652-7662, PMLR, 2020

Incorporating Noise into Adaptive Sampling.

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Denniston, Christopher E.; Kumaraguru, Aravind; Caron, David A.; Sukhatme, Gaurav S.: Incorporating Noise into Adaptive Sampling. Siciliano, Bruno; Laschi, Cecilia; Khatib, Oussama (Ed.): Experimental Robotics - The 17th International Symposium, ISER 2020, La Valletta, Malta, November 9-12, 2020 (postponed to 2021), pp. 198-208, Springer, 2020

Estimating Metric Scale Visual Odometry from Videos using 3D Convolutional Networks.

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Koumis, Alexander S.; Preiss, James A.; Sukhatme, Gaurav S.: Estimating Metric Scale Visual Odometry from Videos using 3D Convolutional Networks. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, pp. 265-272, IEEE, 2019

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors.

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Molchanov, Artem; Chen, Tao; Hünig, Wolfgang; Preiss, James A.; Ayanian, Nora; Sukhatme, Gaurav S.: Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, pp. 59-66, IEEE, 2019

Accelerating Goal-Directed Reinforcement Learning by Model Characterization.

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Debnath, Shoubhik; Sukhatme, Gaurav S.; Liu, Lantao: Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR, vol. abs/1901.01977, 2019

Meta-Learning via Learned Loss.

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Chebotar, Yevgen; Molchanov, Artem; Bechtle, Sarah; Righetti, Ludovic; Meier, Franziska; Sukhatme, Gaurav S.: Meta-Learning via Learned Loss. CoRR, vol. abs/1906.05374, 2019

Resilience in multi-robot target tracking through reconfiguration.

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Ramachandran, Ragesh K.; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in multi-robot target tracking through reconfiguration. CoRR, vol. abs/1910.01300, 2019

Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking.

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Heiden, Eric; Liu, Ziang; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.: Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. CoRR, vol. abs/1912.01652, 2019

Rover-IRL: Inverse Reinforcement Learning With Soft Value Iteration Networks for Planetary Rover Path Planning.

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Pflueger, Max; Agha-Mohammadi, Ali-Akbar; Sukhatme, Gaurav S.: Rover-IRL: Inverse Reinforcement Learning With Soft Value Iteration Networks for Planetary Rover Path Planning. IEEE Robotics Autom. Lett., vol. 4, no. 2, pp. 1387-1394, 2019

Learning to Act in Partially Structured Dynamic Environment.

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Huang, Chen; Liu, Lantao; Sukhatme, Gaurav S.: Learning to Act in Partially Structured Dynamic Environment. 2018 AAAI Spring Symposia, Stanford University, Palo Alto, California, USA, March 26-28, 2018, AAAI Press, 2018

Profit Maximizing Logistic Regression Modeling for Credit Scoring.

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Devos, Arnout; Dhondt, Jakob; Stripling, Eugen; Baesens, Bart; Broucke, Seppe; Sukhatme, Gaurav S.: Profit Maximizing Logistic Regression Modeling for Credit Scoring. 2018 IEEE Data Science Workshop, DSW 2018, Lausanne, Switzerland, June 4-6, 2018, pp. 125-129, IEEE, 2018

Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals.

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Su, Zhe; Kroemer, Oliver; Loeb, Gerald E.; Sukhatme, Gaurav S.; Schaal, Stefan: Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals. 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, pp. 2758-2765, IEEE, 2018

Pilot Surveys for Adaptive Informative Sampling.

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Kemna, Stephanie; Kroemer, Oliver; Sukhatme, Gaurav S.: Pilot Surveys for Adaptive Informative Sampling. 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, pp. 6417-6424, IEEE, 2018

Accelerating Goal-Directed Reinforcement Learning by Model Characterization.

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Debnath, Shoubhik; Sukhatme, Gaurav S.; Liu, Lantao: Accelerating Goal-Directed Reinforcement Learning by Model Characterization. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, pp. 1-9, IEEE, 2018

Region Growing Curriculum Generation for Reinforcement Learning.

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Molchanov, Artem; Hausman, Karol; Birchfield, Stan; Sukhatme, Gaurav S.: Region Growing Curriculum Generation for Reinforcement Learning. CoRR, vol. abs/1807.01425, 2018

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.

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He, Zhanpeng; Julian, Ryan; Heiden, Eric; Zhang, Hejia; Schaal, Stefan; Lim, Joseph J.; Sukhatme, Gaurav S.; Hausman, Karol: Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR, vol. abs/1810.02422, 2018

A Solution to Time-Varying Markov Decision Processes.

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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

Data-driven learning and planning for environmental sampling.

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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.

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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

Regrasping Using Tactile Perception and Supervised Policy Learning.

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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.

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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

Informative planning and online learning with sparse Gaussian processes.

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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.

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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

Data-Driven Learning and Planning for Environmental Sampling.

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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.

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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

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

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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.

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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

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

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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

Contact localization on grasped objects using tactile sensing.

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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.

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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

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

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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: Aerial Earth Science.

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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.

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

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

in

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.

in

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.

in

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.

in

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.

in

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.

in

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.

in

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.

in

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

Active Multi-view Object Recognition and Online Feature Selection.

in

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

Data-driven robotic sampling for marine ecosystem monitoring.

in

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.

in

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

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

in

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.

in

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

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

in

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

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

in

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

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

in

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.

in

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

Active planning for underwater inspection and the benefit of adaptivity.

in

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

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

in

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.

in

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

Environmental Sensing Using Land-Based Spectrally-Selective Cameras and a Quadcopter.

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Das, Jnaneshwar; Evans, William C.; Minnig, Michael; Bahr, Alexander; Sukhatme, Gaurav S.; Martinoli, Alcherio: Environmental Sensing Using Land-Based Spectrally-Selective Cameras and a Quadcopter. Desai, Jaydev P.; Dudek, Gregory; Khatib, Oussama; Kumar, Vijay (Ed.): Experimental Robotics - The 13th International Symposium on Experimental Robotics, ISER 2012, June 18-21, 2012, QuØbec City, Canada, pp. 259-272, Springer, 2012

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

in

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. Freitas, Nando; Murphy, Kevin P. (Ed.): Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012, pp. 163-173, AUAI Press, 2012

Uncertainty-driven view planning for underwater inspection.

in

Hollinger, Geoffrey A.; Englot, Brendan J.; Hover, Franz; Mitra, Urbashi; Sukhatme, Gaurav S.: Uncertainty-driven view planning for underwater inspection. IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA, pp. 4884-4891, IEEE, 2012

Opportunistic localization of underwater robots using drifters and boats.

in

Arrichiello, Filippo; Heidarsson, Hordur Kristinn; Sukhatme, Gaurav S.: Opportunistic localization of underwater robots using drifters and boats. IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA, pp. 5307-5314, IEEE, 2012