Gaurav S. Sukhatme

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 226

Top Venues

CoRR

ICRA

IROS

IEEE Robotics Autom. Lett.

Publications

Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme
Quality Diversity for Robot Learning: Limitations and Future Directions. CoRR (2024)
Guangyao Shi, Gaurav S. Sukhatme
Inverse Submodular Maximization with Application to Human-in-the-Loop Multi-Robot Multi-Objective Coverage Control. CoRR (2024)
Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR (2024)
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)
Guangyao Shi, Gaurav S. Sukhatme
Inverse Risk-sensitive Multi-Robot Task Allocation. CoRR (2024)
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)
K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme
Conditionally Combining Robot Skills using Large Language Models. ICRA (2024)
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) (2024)
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 (2024)
Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. AAAI (2024)
Jeremy Morgan, David Millard, Gaurav S. Sukhatme
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. ICRA (2024)
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)
Shashank Hegde, Zhehui Huang, Gaurav S. Sukhatme
HyperPPO: A scalable method for finding small policies for robotic control. ICRA (2024)
Zhehui Huang, Guangyao Shi, Gaurav S. Sukhatme
From Words to Routes: Applying Large Language Models to Vehicle Routing. CoRR (2024)
Christopher E. Denniston, Baskin Senbaslar, Gaurav S. Sukhatme
Active Signal Emitter Placement In Complex Environments. CoRR (2024)
I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. CoRR (2024)
Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme
Quality Diversity for Robot Learning: Limitations and Future Directions. GECCO Companion (2024)
Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. CoRR (2024)
Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme
Generating Behaviorally Diverse Policies with Latent Diffusion Models. NeurIPS (2023)
Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu
Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR (2023)
K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme
Conditionally Combining Robot Skills using Large Language Models. CoRR (2023)
K. R. Zentner, Ujjwal Puri, Zhehui Huang, Gaurav S. Sukhatme
Guaranteed Trust Region Optimization via Two-Phase KL Penalization. CoRR (2023)
Christopher E. Denniston, Gautam Salhotra, Akseli Kangaslahti, David A. Caron, Gaurav S. Sukhatme
Learned Parameter Selection for Robotic Information Gathering. IROS (2023)
Christopher E. Denniston, Gautam Salhotra, Akseli Kangaslahti, David A. Caron, Gaurav S. Sukhatme
Learned Parameter Selection for Robotic Information Gathering. CoRR (2023)
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 (2023)
Yuqian Jiang, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme
Language-Informed Transfer Learning for Embodied Household Activities. CoRR (2023)
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) (2023)
Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme
Generating Behaviorally Diverse Policies with Latent Diffusion Models. CoRR (2023)
Nirbhay Modhe, Qiaozi Gao, Ashwin Kalyan, Dhruv Batra, Govind Thattai, Gaurav S. Sukhatme
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations. CoRR (2023)
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 (2023)
Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu
RREx-BoT: Remote Referring Expressions with a Bag of Tricks. IROS (2023)
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 (2023)
Shashank Hegde, Gaurav S. Sukhatme
Efficiently Learning Small Policies for Locomotion and Manipulation. ICRA (2023)
Isabel M. Rayas Fernández, Christopher E. Denniston, Gaurav S. Sukhatme
Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams. CoRR (2023)
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)
Baskin Senbaslar, Gaurav S. Sukhatme
DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments. CoRR (2023)
Isabel M. Rayas Fernández, Christopher E. Denniston, Gaurav S. Sukhatme
A Study on Multirobot Quantile Estimation in Natural Environments. CoRR (2023)
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)
David Millard, Daniel Pastor, Joseph Bowkett, Paul Backes, Gaurav S. Sukhatme
Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials. CoRR (2023)
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 (2023)
Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme
Learning Robot Manipulation from Cross-Morphology Demonstration. CoRL (2023)
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)
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 (2023)
Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. CoRR (2023)
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)
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)
Baskin Senbaslar, Gaurav S. Sukhatme
Probabilistic Trajectory Planning for Static and Interaction-aware Dynamic Obstacle Avoidance. CoRR (2023)
Jeremy Morgan, David Millard, Gaurav S. Sukhatme
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. CoRR (2023)
Ran Gong, Xiaofeng Gao, Qiaozi Gao, Suhaila Shakiah, Govind Thattai, Gaurav S. Sukhatme
LEMMA: Learning Language-Conditioned Multi-Robot Manipulation. CoRR (2023)
Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme
Bridging Action Space Mismatch in Learning from Demonstrations. CoRR (2023)
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 (2023)
Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR (2023)
Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu
RREx-BoT: Remote Referring Expressions with a Bag of Tricks. CoRR (2023)
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 (2023)
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 (2023)
Shashank Hegde, Zhehui Huang, Gaurav S. Sukhatme
HyperPPO: A scalable method for finding small policies for robotic control. CoRR (2023)
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) (2023)
Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar
Decentralized Risk-Aware Tracking of Multiple Targets. CoRR (2022)
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) (2022)
Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar
Decentralized Risk-Aware Tracking of Multiple Targets. DARS (2022)
Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme
Inferring Articulated Rigid Body Dynamics from RGBD Video. IROS (2022)
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) (2022)
Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search. CoRR (2022)
Yizhou Zhao, Qiaozi Gao, Liang Qiu, Govind Thattai, Gaurav S. Sukhatme
OpenD: A Benchmark for Language-Driven Door and Drawer Opening. CoRR (2022)
Cristian-Paul Bara, Qing Ping, Abhinav Mathur, Govind Thattai, Rohith MV, Gaurav S. Sukhatme
Privacy Preserving Visual Question Answering. CoRR (2022)
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) (2022)
Isabel M. Rayas Fernández, Christopher E. Denniston, David A. Caron, Gaurav S. Sukhatme
Adaptive Sampling to Estimate Quantiles for Guiding Physical Sampling. CoRR (2022)
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 (2022)
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) (2022)
Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme
Learning to Act with Affordance-Aware Multimodal Neural SLAM. IROS (2022)
Baskin Senbaslar, Gaurav S. Sukhatme
Asynchronous Real-time Decentralized Multi-Robot Trajectory Planning. IROS (2022)
James A. Preiss, David Millard, Tao Yao, Gaurav S. Sukhatme
Tracking Fast Trajectories with a Deformable Object using a Learned Model. ICRA (2022)
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 (2022)
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) (2022)
Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme
Inferring Articulated Rigid Body Dynamics from RGBD Video. CoRR (2022)
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) (2022)
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. ICRA (2022)
Shashank Hegde, Gaurav S. Sukhatme
Efficiently Learning Small Policies for Locomotion and Manipulation. CoRR (2022)
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) (2022)
Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. WAFR (2022)
Gautam Salhotra, I-Chun Arthur Liu, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme
Learning Deformable Object Manipulation from Expert Demonstrations. CoRR (2022)
K. R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan Julian, Gaurav S. Sukhatme
Efficient Multi-Task Learning via Iterated Single-Task Transfer. IROS (2022)
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) (2022)
Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. CoRR (2022)
David Millard, James A. Preiss, Jernej Barbic, Gaurav S. Sukhatme
Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks. ISRR (2022)
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) (2022)
Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. CoRR (2022)
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 (2022)
Bingjie Tang, Gaurav S. Sukhatme
Selective Object Rearrangement in Clutter. CoRL (2022)
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)
Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR (2021)
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) (2021)
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, Bill Smart, Jeff Trinkle, Gaurav S. Sukhatme
A Roadmap for US Robotics - From Internet to Robotics 2020 Edition. Found. Trends Robotics 8 (4) (2021)
Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR (2021)
Peter Englert, Isabel M. Rayas Fernández, Ragesh Kumar Ramachandran, Gaurav S. Sukhatme
Sampling-Based Motion Planning on Sequenced Manifolds. Robotics: Science and Systems (2021)
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)
K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. CoRR (2021)
Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme, Vijay Kumar
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. CoRR (2021)
Eric Heiden, Luigi Palmieri, Leonard Bruns, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig
Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots. IEEE Robotics Autom. Lett. 6 (3) (2021)
Gautam Salhotra, Christopher E. Denniston, David A. Caron, Gaurav S. Sukhatme
Adaptive Sampling using POMDPs with Domain-Specific Considerations. CoRR (2021)

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Gaurav S. Sukhatme