Dhruv Shah

According to our database, Dhruv Shah authored at least 44 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

SACSoN: Scalable Autonomous Control for Social Navigation.

Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine

IEEE Robotics Autom. Lett., January, 2024

Traversability-Aware Legged Navigation by Learning from Real-World Visual Data.

Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura M. Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yun-hui Liu

CoRR, 2024

LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos.

Noriaki Hirose, Catherine Glossop, Ajay Sridhar, Dhruv Shah, Oier Mees, Sergey Levine

CoRR, 2024

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani

CoRR, 2024

A System and Benchmark for LLM-based Q&A on Heterogeneous Data.

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

CoRR, 2024

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

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

CoRR, 2024

SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation.

Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine

CoRR, 2024

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation.

Jonathan Yang, Catherine Glossop, Arjun Bhorkar, Dhruv Shah, Quan Vuong, Chelsea Finn, Dorsa Sadigh, Sergey Levine

CoRR, 2024

Leveraging Large Language Models to Improve REST API Testing.

Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, Alessandro Orso

Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration.

Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

GOAT: GO to Any Thing.

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

CoRR, 2023

An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories.

Pavithra Harsha, Shivaram Subramanian, Ali Koc, Mahesh Ramakrishna, Brian Quanz, Dhruv Shah, Chandra Narayanaswami

CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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.

CoRR, 2023

SACSoN: Scalable Autonomous Data Collection for Social Navigation.

Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine

CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control.

Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents.

Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Real-Time Training of Heterogeneous UAVs Using a Federated Teacher-Student Self-Training Framework.

Piyush Nikam, Dhruv Shah, Aryan Sahu, Neena Goveas, Sreejith Vidhyadharan

Proceedings of the IEEE Military Communications Conference, 2023

GNM: A General Navigation Model to Drive Any Robot.

Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation.

Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing.

Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

ViNT: A Foundation Model for Visual Navigation.

Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning.

Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

AI Model Factory: Scaling AI for Industry 4.0 Applications.

Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results.

Sergey Levine, Dhruv Shah

CoRR, 2022

ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints.

Dhruv Shah, Sergey Levine

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Machine Vision Using Cellphone Camera: A comparison of deep networks for classifying three challenging denominations of Indian coins.

Keyur D. Joshi, Dhruv Shah, Varshil Shah, Nilay Gandhi, Sanket J. Shah, Sanket B. Shah

Proceedings of the 28th International Conference on Mechatronics and Machine Vision in Practice, 2022

Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments.

Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.

Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter

Proceedings of the Tenth International Conference on Learning Representations, 2022

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action.

Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

Offline Reinforcement Learning for Visual Navigation.

Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

2021

RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models.

Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine

CoRR, 2021

ViNG: Learning Open-World Navigation with Visual Goals.

Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Rapid Exploration for Open-World Navigation with Latent Goal Models.

Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Low Density Parity Check Code (LDPC Codes) Overview.

Saumya Borwankar, Dhruv Shah

CoRR, 2020

Machine learning based co-creative design framework.

Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae Eun Park

CoRR, 2020

Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing.

Dimos Tzoumanikas, Felix Graule, Qingyue Yan, Dhruv Shah, Marija Popovic, Stefan Leutenegger

Proceedings of the Robotics: Science and Systems XVI, 2020

Toward a neuro-inspired creative decoder.

Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

The Ingredients of Real World Robotic Reinforcement Learning.

Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Swarm Aggregation Without Communication and Global Positioning.

Dhruv Shah, Leena Vachhani

IEEE Robotics Autom. Lett., 2019

Projection Design for Compressive Source Separation Using Mean Errors and Cross-Validation.

Dhruv Shah, Ajit Rajwade

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence.

Dhruv Shah, Alankar Kotwal, Ajit Rajwade

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Robust Localization of an Arbitrary Distribution of Radioactive Sources for Aerial Inspection.

Dhruv Shah, Sebastian A. Scherer

CoRR, 2017

2009

Speed and load torque observer for rotating machines.

Dhruv Shah, Romeo Ortega, Alessandro Astolfi

Proceedings of the 48th IEEE Conference on Decision and Control, 2009