Millard, David; Pastor, Daniel; Bowkett, Joseph; Backes, Paul; Sukhatme, Gaurav S.: GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials. 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
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
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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
Gao, Qiaozi; Thattai, Govind; Gao, Xiaofeng; Shakiah, Suhaila; Pansare, Shreyas; Sharma, Vasu; Sukhatme, Gaurav S.; Shi, Hangjie; Yang, Bofei; Zheng, Desheng; Hu, Lucy; Arumugam, Karthika; Hu, Shui; Wen, Matthew; Guthy, Dinakar; Chung, Cadence; Khanna, Rohan; Ipek, Osman; Ball, Leslie; Bland, Kate; Rocker, Heather; Rao, Yadunandana; Johnston, Michael; Ghanadan, Reza; Mandal, Arindam; Hakkani-Tþr, Dilek; Natarajan, Prem: Alexa Arena: A User-Centric Interactive Platform for Embodied AI. CoRR, vol. abs/2303.01586, 2023
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
Salhotra, Gautam; Liu, I-Chun Arthur; Sukhatme, Gaurav S.: Learning Robot Manipulation from Cross-Morphology Demonstration Conference on Robot Learning (CoRL) 2023, 2023
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]
Hegde, Shashank; Batra, Sumeet; Zentner, K. R.; Sukhatme, Gaurav S.: Generating Behaviorally Diverse Policies with Latent Diffusion Models. Submitted to Neurips 2023, 2023
[Twitter]
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Trabucco, Brandon; Sigurdsson, Gunnar A.; Piramuthu, Robinson; Sukhatme, Gaurav S.; Salakhutdinov, Ruslan: A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search. The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, OpenReview.net, 2023
Preiss, James A.; Millard, David; Yao, Tao; Sukhatme, Gaurav S.: Tracking Fast Trajectories with a Deformable Object using a Learned Model. 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, pp. 1351-1357, IEEE, 2022
Heiden, Eric; Denniston, Christopher E.; Millard, David; Ramos, Fabio; Sukhatme, Gaurav S.: Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, pp. 3638-3645, IEEE, 2022
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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
Millard, David; Preiss, James A.; Barbic, Jernej; Sukhatme, Gaurav S.: Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks. Billard, Aude; Asfour, Tamim; Khatib, Oussama (Ed.): Robotics Research - The 20th International Symposium ISRR 2022, Geneva, Switzerland, 25-30 September 2022, pp. 239-251, Springer, 2022
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
Adler, Aviv; Mickelin, Oscar; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.; Karaman, Sertac: The Role of Heterogeneity in Autonomous Perimeter Defense Problems. CoRR, vol. abs/2202.10433, 2022
Liu, Jiazhen; Zhou, Lifeng; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.; Kumar, Vijay: Decentralized Risk-Aware Tracking of Multiple Targets. CoRR, vol. abs/2208.02772, 2022
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
Hegde, Shashank; Sukhatme, Gaurav S.: Efficiently Learning Small Policies for Locomotion and Manipulation. CoRR, vol. abs/2210.00140, 2022
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Zhao, Yizhou; Gao, Qiaozi; Qiu, Liang; Thattai, Govind; Sukhatme, Gaurav S.: OpenD: A Benchmark for Language-Driven Door and Drawer Opening. CoRR, vol. abs/2212.05211, 2022
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
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
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
Heiden, Eric; Liu, Ziang; Vineet, Vibhav; Coumans, Erwin; Sukhatme, Gaurav S.: Inferring Articulated Rigid Body Dynamics from RGBD Video. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, pp. 8383-8390, IEEE, 2022
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
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
Adler, Aviv; Mickelin, Oscar; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.; Karaman, Sertac: The Role of Heterogeneity in Autonomous Perimeter Defense Problems. LaValle, Steven M.; O'Kane, Jason M.; Otte, Michael W.; Sadigh, Dorsa; Tokekar, Pratap (Ed.): Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2022, College Park, MD, USA, 22-24 June, 2022, pp. 115-131, Springer, 2022
Tang, Bingjie; Sukhatme, Gaurav S.: Selective Object Rearrangement in Clutter. Liu, Karen; Kulic, Dana; Ichnowski, Jeffrey (Ed.): Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, pp. 1001-1010, PMLR, 2022
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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
Suglia, Alessandro; Gao, Qiaozi; Thomason, Jesse; Thattai, Govind; Sukhatme, Gaurav S.: Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. CoRR, vol. abs/2108.04927, 2021
Heiden, Eric; Denniston, Christopher E.; Millard, David; Ramos, Fabio; Sukhatme, Gaurav S.: Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. CoRR, vol. abs/2109.08815, 2021
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
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
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
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
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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Heiden, Eric; Millard, David; Coumans, Erwin; Sheng, Yizhou; Sukhatme, Gaurav S.: NeuralSim: Augmenting Differentiable Simulators with Neural Networks. IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, pp. 9474-9481, IEEE, 2021
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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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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
Sutanto, Giovanni; Wang, Austin S.; Lin, Yixin; Mukadam, Mustafa; Sukhatme, Gaurav S.; Rai, Akshara; Meier, Franziska: Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. Bayen, Alexandre M.; Jadbabaie, Ali; Pappas, George J.; Parrilo, Pablo A.; Recht, Benjamin; Tomlin, Claire J.; Zeilinger, Melanie N. (Ed.): Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020, pp. 804-813, PMLR, 2020
Millard, David; Heiden, Eric; Agrawal, Shubham; Sukhatme, Gaurav S.: Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. CoRR, vol. abs/2001.08539, 2020
Sutanto, Giovanni; Wang, Austin S.; Lin, Yixin; Mukadam, Mustafa; Sukhatme, Gaurav S.; Rai, Akshara; Meier, Franziska: Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR, vol. abs/2001.08861, 2020
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
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
Pflueger, Max; Sukhatme, Gaurav S.: Plan-Space State Embeddings for Improved Reinforcement Learning. CoRR, vol. abs/2004.14567, 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; 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
Heiden, Eric; Millard, David; Coumans, Erwin; Sukhatme, Gaurav S.: Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap. CoRR, vol. abs/2007.06045, 2020
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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Heiden, Eric; Millard, David; Coumans, Erwin; Sheng, Yizhou; Sukhatme, Gaurav S.: NeuralSim: Augmenting Differentiable Simulators with Neural Networks. CoRR, vol. abs/2011.04217, 2020
Ramachandran, Ragesh K.; Zhou, Lifeng; Preiss, James A.; Sukhatme, Gaurav S.: Resilient Coverage: Exploring the Local-to-Global Trade-off. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 11740-11747, IEEE, 2020
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
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
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
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
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
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; Millard, David; Zhang, Hejia; Sukhatme, Gaurav S.: Interactive Differentiable Simulation CoRR, vol. abs/1905.10706, 2019
Chebotar, Yevgen; Molchanov, Artem; Bechtle, Sarah; Righetti, Ludovic; Meier, Franziska; Sukhatme, Gaurav S.: Meta-Learning via Learned Loss. CoRR, vol. abs/1906.05374, 2019
Ramachandran, Ragesh K.; Zhou, Lifeng; Sukhatme, Gaurav S.: Resilient Coverage: Exploring the Local-to-Global Trade-off. CoRR, vol. abs/1910.01917, 2019
Khosoussi, Kasra; Giamou, Matthew; Sukhatme, Gaurav S.; Huang, Shoudong; Dissanayake, Gamini; How, Jonathan P.: Reliable Graphs for SLAM. Int. J. Robotics Res., vol. 38, no. 2-3, 2019
Fung, Nicholas; III, John G. Rogers; Nieto, Carlos; Christensen, Henrik I.; Kemna, Stephanie; Sukhatme, Gaurav S.: Coordinating multi-robot systems through environment partitioning for adaptive informative sampling. International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, pp. 3231-3237, IEEE, 2019
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
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
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
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
Molchanov, Artem; Hausman, Karol; Birchfield, Stan; Sukhatme, Gaurav S.: Region Growing Curriculum Generation for Reinforcement Learning. CoRR, vol. abs/1807.01425, 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
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
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
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
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
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
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
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
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
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
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
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
Liu, Lantao; Sukhatme, Gaurav S.: Making Decisions with Spatially and Temporally Uncertain Data. CoRR, vol. abs/1605.01018, 2016
Kroemer, Oliver; Sukhatme, Gaurav S.: Learning Relevant Features for Manipulation Skills using Meta-Level Priors. CoRR, vol. abs/1605.04439, 2016
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Robotic Embedded Systems Laboratory
University of Southern California
Ronald Tutor Hall, RTH426
3710 McClintock Avenue
Los Angeles, CA 90089-9121
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