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ORCIDDhruv Shah
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2020 – today
- 2024
[j2]Noriaki Hirose
, Dhruv Shah, Ajay Sridhar, Sergey Levine:
SACSoN: Scalable Autonomous Control for Social Navigation. IEEE Robotics Autom. Lett. 9(1): 49-56 (2024)- [c25]Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine:
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration. ICRA 2024: 63-70 - [c24]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 - [c23]Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, Alessandro Orso:
Leveraging Large Language Models to Improve REST API Testing. NIER@ICSE 2024: 37-41 - [i32]Jonathan Yang, Catherine Glossop, Arjun Bhorkar, Dhruv Shah, Quan Vuong, Chelsea Finn, Dorsa Sadigh, Sergey Levine:
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation. CoRR abs/2402.19432 (2024) - [i31]Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine:
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation. CoRR abs/2403.00991 (2024) - [i30]Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan:
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRR abs/2407.07775 (2024) - [i29]Achille Fokoue, Srideepika Jayaraman, Elham Khabiri, Jeffrey O. Kephart, Yingjie Li, Dhruv Shah, Youssef Drissi, Fenno F. Terry Heath III, Anuradha Bhamidipaty, Fateh Tipu, Robert J. Baseman:
A System and Benchmark for LLM-based Q&A on Heterogeneous Data. CoRR abs/2409.05735 (2024) - [i28]Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani:
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. CoRR abs/2409.16283 (2024) - [i27]Noriaki Hirose, Catherine Glossop, Ajay Sridhar, Dhruv Shah, Oier Mees, Sergey Levine:
LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos. CoRR abs/2410.03603 (2024) - 2023
- [c22]Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam:
AI Model Factory: Scaling AI for Industry 4.0 Applications. AAAI 2023: 16467-16469 - [c21]Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine:
ViNT: A Foundation Model for Visual Navigation. CoRL 2023: 711-733 - [c20]Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine:
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRL 2023: 2683-2699 - [c19]Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRL 2023: 3100-3111 - [c18]Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine:
ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation. ICRA 2023: 4077-4084 - [c17]Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine:
GNM: A General Navigation Model to Drive Any Robot. ICRA 2023: 7226-7233 - [c16]Piyush Nikam, Dhruv Shah, Aryan Sahu, Neena Goveas, Sreejith Vidhyadharan:
Enhancing Real-Time Training of Heterogeneous UAVs Using a Federated Teacher-Student Self-Training Framework. MILCOM 2023: 870-875 - [c15]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. NeurIPS 2023 - [i26]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR abs/2303.00855 (2023) - [i25]Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRR abs/2304.09831 (2023) - [i24]Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine:
SACSoN: Scalable Autonomous Data Collection for Social Navigation. CoRR abs/2306.01874 (2023) - [i23]Keyur D. Joshi, Dhruv Shah, Varshil Shah, Nilay Gandhi, Sanket J. Shah, Sanket B. Shah:
Machine Vision Using Cellphone Camera: A Comparison of deep networks for classifying three challenging denominations of Indian Coins. CoRR abs/2306.06084 (2023) - [i22]Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine:
ViNT: A Foundation Model for Visual Navigation. CoRR abs/2306.14846 (2023) - [i21]Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine:
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration. CoRR abs/2310.07896 (2023) - [i20]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) - [i19]Dhruv Shah, Michael Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine:
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRR abs/2310.10103 (2023) - [i18]Pavithra Harsha, Shivaram Subramanian, Ali Koc, Mahesh Ramakrishna, Brian Quanz, Dhruv Shah, Chandra Narayanaswami:
An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories. CoRR abs/2310.12183 (2023) - [i17]Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot:
GOAT: GO to Any Thing. CoRR abs/2311.06430 (2023) - [i16]Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, Alessandro Orso:
Leveraging Large Language Models to Improve REST API Testing. CoRR abs/2312.00894 (2023) - 2022
- [c14]Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine:
Offline Reinforcement Learning for Visual Navigation. CoRL 2022: 44-54 - [c13]Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine:
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. CoRL 2022: 492-504 - [c12]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. ICLR 2022 - [c11]Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine:
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. ICRA 2022: 4452-4458 - [c10]Keyur D. Joshi, Dhruv Shah, Varshil Shah, Nilay Gandhi, Sanket J. Shah, Sanket B. Shah:
Machine Vision Using Cellphone Camera: A comparison of deep networks for classifying three challenging denominations of Indian coins. M2VIP 2022: 1-6 - [c9]Dhruv Shah, Sergey Levine:
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints. Robotics: Science and Systems 2022 - [i15]Dhruv Shah, Sergey Levine:
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints. CoRR abs/2202.11271 (2022) - [i14]Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine:
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. CoRR abs/2207.04429 (2022) - [i13]Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine:
GNM: A General Navigation Model to Drive Any Robot. CoRR abs/2210.03370 (2022) - [i12]Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine:
ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation. CoRR abs/2210.07450 (2022) - [i11]Sergey Levine, Dhruv Shah:
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results. CoRR abs/2212.06759 (2022) - [i10]Dhruv Shah, Arjun Bhorkar, Hrish Leen, Ilya Kostrikov, Nick Rhinehart, Sergey Levine:
Offline Reinforcement Learning for Visual Navigation. CoRR abs/2212.08244 (2022) - 2021
- [c8]Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine:
Rapid Exploration for Open-World Navigation with Latent Goal Models. CoRL 2021: 674-684 - [c7]Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine:
ViNG: Learning Open-World Navigation with Visual Goals. ICRA 2021: 13215-13222 - [i9]Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine:
RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models. CoRR abs/2104.05859 (2021) - [i8]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. CoRR abs/2111.03189 (2021) - [i7]Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine:
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. CoRR abs/2111.10948 (2021) - 2020
- [c6]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real World Robotic Reinforcement Learning. ICLR 2020 - [c5]Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah:
Toward a neuro-inspired creative decoder. IJCAI 2020: 2746-2753 - [c4]Dimos Tzoumanikas, Felix Graule, Qingyue Yan, Dhruv Shah, Marija Popovic, Stefan Leutenegger:
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing. Robotics: Science and Systems 2020 - [i6]Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae Eun Park:
Machine learning based co-creative design framework. CoRR abs/2001.08791 (2020) - [i5]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real-World Robotic Reinforcement Learning. CoRR abs/2004.12570 (2020) - [i4]Dimos Tzoumanikas, Felix Graule, Qingyue Yan, Dhruv Shah, Marija Popovic, Stefan Leutenegger:
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing. CoRR abs/2006.02116 (2020) - [i3]Saumya Borwankar, Dhruv Shah:
Low Density Parity Check Code (LDPC Codes) Overview. CoRR abs/2009.08645 (2020) - [i2]Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine:
ViNG: Learning Open-World Navigation with Visual Goals. CoRR abs/2012.09812 (2020)
2010 – 2019
- 2019
- [j1]Dhruv Shah, Leena Vachhani:
Swarm Aggregation Without Communication and Global Positioning. IEEE Robotics Autom. Lett. 4(2): 886-893 (2019) - [c3]Dhruv Shah, Ajit Rajwade:
Projection Design for Compressive Source Separation Using Mean Errors and Cross-Validation. ICIP 2019: 2035-2039 - 2018
- [c2]Dhruv Shah, Alankar Kotwal, Ajit Rajwade:
Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence. GlobalSIP 2018: 321-325 - 2017
- [i1]Dhruv Shah, Sebastian A. Scherer:
Robust Localization of an Arbitrary Distribution of Radioactive Sources for Aerial Inspection. CoRR abs/1710.01701 (2017)
2000 – 2009
- 2009
- [c1]Dhruv Shah, Romeo Ortega, Alessandro Astolfi:
Speed and load torque observer for rotating machines. CDC 2009: 6143-6148
Coauthor Index
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