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ORCIDGaurav S. Sukhatme
G. Stefano Sukhatme
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2024
[j112]Aviv Adler
, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The role of heterogeneity in autonomous perimeter defense problems. Int. J. Robotics Res. 43(9): 1363-1381 (2024)- [j111]Christopher E. Denniston, Baskin Senbaslar, Gaurav S. Sukhatme:
Active Signal Emitter Placement in Complex Environments. IEEE Robotics Autom. Lett. 9(10): 8786-8793 (2024) - [j110]Ragesh Kumar Ramachandran, Nicole Fronda, James A. Preiss, Zhenghao Dai, Gaurav S. Sukhatme:
Resilient Multi-Robot Multi-Target Tracking. IEEE Trans Autom. Sci. Eng. 21(3): 4311-4327 (2024) - [c305]Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. AAAI 2024: 18517-18526 - [c304]Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis:
Generating Diverse Critics for Conditioned Policy Distillation. GECCO Companion 2024: 167-170 - [c303]Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Quality Diversity for Robot Learning: Limitations and Future Directions. GECCO Companion 2024: 587-590 - [c302]Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. ICLR 2024 - [c301]Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskin Senbaslar, Sumeet Batra, Gaurav S. Sukhatme:
Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning. ICRA 2024: 300-306 - [c300]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c299]Shashank Hegde, Zhehui Huang, Gaurav S. Sukhatme:
HyperPPO: A scalable method for finding small policies for robotic control. ICRA 2024: 10821-10828 - [c298]Jeremy Morgan, David Millard, Gaurav S. Sukhatme:
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. ICRA 2024: 12279-12785 - [c297]K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme:
Conditionally Combining Robot Skills using Large Language Models. ICRA 2024: 14046-14053 - [i116]Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. CoRR abs/2402.03561 (2024) - [i115]Zhehui Huang, Guangyao Shi, Gaurav S. Sukhatme:
From Words to Routes: Applying Large Language Models to Vehicle Routing. CoRR abs/2403.10795 (2024) - [i114]Guangyao Shi, Gaurav S. Sukhatme:
Inverse Submodular Maximization with Application to Human-in-the-Loop Multi-Robot Multi-Objective Coverage Control. CoRR abs/2403.10991 (2024) - [i113]Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR abs/2404.07880 (2024) - [i112]Christopher E. Denniston, Baskin Senbaslar, Gaurav S. Sukhatme:
Active Signal Emitter Placement In Complex Environments. CoRR abs/2405.02719 (2024) - [i111]Guangyao Shi, Gaurav S. Sukhatme:
Inverse Risk-sensitive Multi-Robot Task Allocation. CoRR abs/2406.10199 (2024) - [i110]I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme:
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. CoRR abs/2407.04152 (2024) - [i109]Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj S. Narang:
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries. CoRR abs/2407.08028 (2024) - [i108]Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Quality Diversity for Robot Learning: Limitations and Future Directions. CoRR abs/2407.17515 (2024) - [i107]Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR abs/2409.11230 (2024) - [i106]Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards. CoRR abs/2409.12274 (2024) - [i105]Sumeet Batra, Gaurav S. Sukhatme:
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation. CoRR abs/2410.07441 (2024) - [i104]Shashank Hegde, Gautam Salhotra, Gaurav S. Sukhatme:
Latent Weight Diffusion: Generating Policies from Trajectories. CoRR abs/2410.14040 (2024) - 2023
- [j109]Ran Gong, Xiaofeng Gao, Qiaozi Gao, Suhaila Shakiah, Govind Thattai, Gaurav S. Sukhatme:
LEMMA: Learning Language-Conditioned Multi-Robot Manipulation. IEEE Robotics Autom. Lett. 8(10): 6835-6842 (2023) - [j108]Renato Fernando dos Santos, Ragesh K. Ramachandran, Marcos A. M. Vieira, Gaurav S. Sukhatme:
Parallel multi-speed Pursuit-Evasion Game algorithms. Robotics Auton. Syst. 163: 104382 (2023) - [j107]Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos A. M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Synthesis of Large-Scale Instant IoT Networks. IEEE Trans. Mob. Comput. 22(3): 1810-1824 (2023) - [c296]Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme:
Learning Robot Manipulation from Cross-Morphology Demonstration. CoRL 2023: 2257-2277 - [c295]Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov:
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search. ICLR 2023 - [c294]Shashank Hegde, Gaurav S. Sukhatme:
Efficiently Learning Small Policies for Locomotion and Manipulation. ICRA 2023: 5909-5915 - [c293]Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi:
Fast and Scalable Signal Inference for Active Robotic Source Seeking. ICRA 2023: 7909-7915 - [c292]Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu:
RREx-BoT: Remote Referring Expressions with a Bag of Tricks. IROS 2023: 5203-5210 - [c291]Christopher E. Denniston, Gautam Salhotra, Akseli Kangaslahti, David A. Caron, Gaurav S. Sukhatme:
Learned Parameter Selection for Robotic Information Gathering. IROS 2023: 10519-10526 - [c290]Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zhang, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Shunan Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Michael Johnston, Reza Ghanadan, Dilek Hakkani-Tur, Prem Natarajan:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. NeurIPS 2023 - [c289]Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme:
Generating Behaviorally Diverse Policies with Latent Diffusion Models. NeurIPS 2023 - [c288]David Millard, Daniel Pastor, Joseph Bowkett, Paul Backes, Gaurav S. Sukhatme:
GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials. Robotics: Science and Systems 2023 - [c287]Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj S. Narang:
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. Robotics: Science and Systems 2023 - [i103]Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi:
Fast and Scalable Signal Inference for Active Robotic Source Seeking. CoRR abs/2301.02362 (2023) - [i102]Yuqian Jiang, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Language-Informed Transfer Learning for Embodied Household Activities. CoRR abs/2301.05318 (2023) - [i101]Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu:
RREx-BoT: Remote Referring Expressions with a Bag of Tricks. CoRR abs/2301.12614 (2023) - [i100]Baskin Senbaslar, Gaurav S. Sukhatme:
Probabilistic Trajectory Planning for Static and Interaction-aware Dynamic Obstacle Avoidance. CoRR abs/2302.12873 (2023) - [i99]Qiaozi Gao, Govind Thattai, Xiaofeng Gao, Suhaila Shakiah, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zheng, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Cadence Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Yadunandana Rao, Michael Johnston, Reza Ghanadan, Arindam Mandal, Dilek Hakkani-Tür, Prem Natarajan:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. CoRR abs/2303.01586 (2023) - [i98]Isabel M. Rayas Fernández, Christopher E. Denniston, Gaurav S. Sukhatme:
A Study on Multirobot Quantile Estimation in Natural Environments. CoRR abs/2303.03539 (2023) - [i97]Christopher E. Denniston, Gautam Salhotra, Akseli Kangaslahti, David A. Caron, Gaurav S. Sukhatme:
Learned Parameter Selection for Robotic Information Gathering. CoRR abs/2303.05022 (2023) - [i96]Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme:
Bridging Action Space Mismatch in Learning from Demonstrations. CoRR abs/2304.03833 (2023) - [i95]Isabel M. Rayas Fernández, Christopher E. Denniston, Gaurav S. Sukhatme:
Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams. CoRR abs/2304.06873 (2023) - [i94]Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR abs/2305.13795 (2023) - [i93]Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj S. Narang:
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. CoRR abs/2305.17110 (2023) - [i92]Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme:
Generating Behaviorally Diverse Policies with Latent Diffusion Models. CoRR abs/2305.18738 (2023) - [i91]David Millard, Daniel Pastor, Joseph Bowkett, Paul Backes, Gaurav S. Sukhatme:
Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials. CoRR abs/2306.01369 (2023) - [i90]Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme:
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. CoRR abs/2306.09537 (2023) - [i89]Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu:
Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR abs/2306.12369 (2023) - [i88]Baskin Senbaslar, Gaurav S. Sukhatme:
DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments. CoRR abs/2307.15887 (2023) - [i87]Ran Gong, Xiaofeng Gao, Qiaozi Gao, Suhaila Shakiah, Govind Thattai, Gaurav S. Sukhatme:
LEMMA: Learning Language-Conditioned Multi-Robot Manipulation. CoRR abs/2308.00937 (2023) - [i86]Nirbhay Modhe, Qiaozi Gao, Ashwin Kalyan, Dhruv Batra, Govind Thattai, Gaurav S. Sukhatme:
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations. CoRR abs/2308.03882 (2023) - [i85]Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav S. Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan:
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. CoRR abs/2308.05221 (2023) - [i84]Baskin Senbaslar, Pilar Luiz, Wolfgang Hönig, Gaurav S. Sukhatme:
MRNAV: Multi-Robot Aware Planning and Control Stack for Collision and Deadlock-free Navigation in Cluttered Environments. CoRR abs/2308.13499 (2023) - [i83]Jeremy Morgan, David Millard, Gaurav S. Sukhatme:
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. CoRR abs/2309.09102 (2023) - [i82]Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskin Senbaslar, Sumeet Batra, Gaurav S. Sukhatme:
Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning. CoRR abs/2309.13285 (2023) - [i81]Shashank Hegde, Zhehui Huang, Gaurav S. Sukhatme:
HyperPPO: A scalable method for finding small policies for robotic control. CoRR abs/2309.16663 (2023) - [i80]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i79]K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme:
Conditionally Combining Robot Skills using Large Language Models. CoRR abs/2310.17019 (2023) - [i78]K. R. Zentner, Ujjwal Puri, Zhehui Huang, Gaurav S. Sukhatme:
Guaranteed Trust Region Optimization via Two-Phase KL Penalization. CoRR abs/2312.05405 (2023) - 2022
- [j106]Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier:
Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res. 41(13-14): 1121-1145 (2022) - [j105]Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Vinay Senthil, Dinesh Thakur, Gaurav S. Sukhatme, Vijay Kumar:
Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors. IEEE Robotics Autom. Lett. 7(2): 5615-5622 (2022) - [j104]Gautam Salhotra, I-Chun Arthur Liu, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme:
Learning Deformable Object Manipulation From Expert Demonstrations. IEEE Robotics Autom. Lett. 7(4): 8775-8782 (2022) - [j103]Christopher E. Denniston, Yun Chang, Andrzej Reinke, Kamak Ebadi, Gaurav S. Sukhatme, Luca Carlone, Benjamin Morrell, Ali-akbar Agha-mohammadi:
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. IEEE Robotics Autom. Lett. 7(4): 9651-9658 (2022) - [j102]Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme:
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. IEEE Robotics Autom. Lett. 7(4): 10049-10056 (2022) - [j101]Isabel M. Rayas Fernández, Christopher E. Denniston, David A. Caron, Gaurav S. Sukhatme:
Informative Path Planning to Estimate Quantiles for Environmental Analysis. IEEE Robotics Autom. Lett. 7(4): 10280-10287 (2022) - [j100]Pradipta Ghosh, Xiaochen Liu, Hang Qiu, Marcos A. M. Vieira, Gaurav S. Sukhatme, Ramesh Govindan:
Sensing the Sensor: Estimating Camera Properties with Minimal Information. ACM Trans. Sens. Networks 18(2): 28:1-28:26 (2022) - [j99]Amanda Prorok, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme:
Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics 38(1): 2-4 (2022) - [j98]Ragesh Kumar Ramachandran, Pietro Pierpaoli, Magnus Egerstedt, Gaurav S. Sukhatme:
Resilient Monitoring in Heterogeneous Multi-Robot Systems Through Network Reconfiguration. IEEE Trans. Robotics 38(1): 126-138 (2022) - [c286]Bingjie Tang, Gaurav S. Sukhatme:
Selective Object Rearrangement in Clutter. CoRL 2022: 1001-1010 - [c285]Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. DARS 2022: 408-423 - [c284]Arjun Majumdar, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Dhruv Batra, Gaurav S. Sukhatme:
SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. ICML 2022: 14774-14785 - [c283]James A. Preiss, David Millard, Tao Yao, Gaurav S. Sukhatme:
Tracking Fast Trajectories with a Deformable Object using a Learned Model. ICRA 2022: 1351-1357 - [c282]Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme:
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. ICRA 2022: 3638-3645 - [c281]Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Learning to Act with Affordance-Aware Multimodal Neural SLAM. IROS 2022: 5877-5884 - [c280]Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme:
Inferring Articulated Rigid Body Dynamics from RGBD Video. IROS 2022: 8383-8390 - [c279]Baskin Senbaslar, Gaurav S. Sukhatme:
Asynchronous Real-time Decentralized Multi-Robot Trajectory Planning. IROS 2022: 9972-9979 - [c278]K. R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan Julian, Gaurav S. Sukhatme:
Efficient Multi-Task Learning via Iterated Single-Task Transfer. IROS 2022: 10141-10146 - [c277]David Millard, James A. Preiss, Jernej Barbic, Gaurav S. Sukhatme:
Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks. ISRR 2022: 239-251 - [c276]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. WAFR 2022: 115-131 - [i77]Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Learning to Act with Affordance-Aware Multimodal Neural SLAM. CoRR abs/2201.09862 (2022) - [i76]Isabel M. Rayas Fernández, Christopher E. Denniston, David A. Caron, Gaurav S. Sukhatme:
Adaptive Sampling to Estimate Quantiles for Guiding Physical Sampling. CoRR abs/2201.10633 (2022) - [i75]Cristian-Paul Bara, Qing Ping, Abhinav Mathur, Govind Thattai, Rohith MV, Gaurav S. Sukhatme:
Privacy Preserving Visual Question Answering. CoRR abs/2202.07712 (2022) - [i74]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. CoRR abs/2202.10433 (2022) - [i73]Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme:
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. CoRR abs/2202.13330 (2022) - [i72]Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme:
Inferring Articulated Rigid Body Dynamics from RGBD Video. CoRR abs/2203.10488 (2022) - [i71]Christopher E. Denniston, Yun Chang, Andrzej Reinke, Kamak Ebadi, Gaurav S. Sukhatme, Luca Carlone, Benjamin Morrell, Ali-akbar Agha-mohammadi:
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. CoRR abs/2205.12402 (2022) - [i70]Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov:
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search. CoRR abs/2206.13396 (2022) - [i69]Gautam Salhotra, I-Chun Arthur Liu, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme:
Learning Deformable Object Manipulation from Expert Demonstrations. CoRR abs/2207.10148 (2022) - [i68]Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. CoRR abs/2208.02772 (2022) - [i67]Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme:
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR abs/2208.13626 (2022) - [i66]Shashank Hegde, Gaurav S. Sukhatme:
Efficiently Learning Small Policies for Locomotion and Manipulation. CoRR abs/2210.00140 (2022) - [i65]Vishnu Sashank Dorbala, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Gaurav S. Sukhatme:
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation. CoRR abs/2211.16649 (2022) - [i64]Yizhou Zhao, Qiaozi Gao, Liang Qiu, Govind Thattai, Gaurav S. Sukhatme:
OpenD: A Benchmark for Language-Driven Door and Drawer Opening. CoRR abs/2212.05211 (2022) - 2021
- [j97]Henrik I. Christensen, Nancy M. Amato, Holly A. Yanco, Maja J. Mataric, Howie Choset, Ann W. Drobnis, Ken Goldberg, Jessy W. Grizzle, Gregory D. Hager, John M. Hollerbach, Seth Hutchinson, Venkat Krovi, Daniel Lee, William D. Smart, Jeff Trinkle, Gaurav S. Sukhatme:
A Roadmap for US Robotics - From Internet to Robotics 2020 Edition. Found. Trends Robotics 8(4): 307-424 (2021) - [j96]Eric Heiden, Luigi Palmieri, Leonard Bruns, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig:
Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots. IEEE Robotics Autom. Lett. 6(3): 4536-4543 (2021) - [j95]Ragesh Kumar Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in Multirobot Multitarget Tracking With Unknown Number of Targets Through Reconfiguration. IEEE Trans. Control. Netw. Syst. 8(2): 609-620 (2021) - [c275]Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme:
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRL 2021: 576-586 - [c274]