Shah, Dhruv

22 publications

CoRL 2025 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

ICLR 2025 Vision Language Models Are In-Context Value Learners Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia

CoRL 2024 Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Zhuo Xu, Hao-Tien Lewis Chiang, 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

CoRL 2024 SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation Around People Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine

AAAI 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

CoRL 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

NeurIPS 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

CoRL 2023 Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning Dhruv Shah, Michael Robert Equi, Błażej Osiński, Fei Xia, Brian Ichter, Sergey Levine

NeurIPSW 2023 NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine

CoRL 2023 ViNT: A Foundation Model for Visual Navigation Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine

NeurIPSW 2022 GNM: A General Navigation Model to Drive Any Robot Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine

CoRL 2022 LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah, Błażej Osiński, Brian Ichter, Sergey Levine

NeurIPSW 2022 Offline Reinforcement Learning for Customizable Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

NeurIPSW 2022 Offline Reinforcement Learning for Customizable Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

CoRL 2022 Offline Reinforcement Learning for Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

NeurIPSW 2022 Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah

ICLR 2022 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

NeurIPSW 2021 Hybrid Imitative Planning with Geometric and Predictive Costs in Offroad Environments Nitish Dashora, Daniel Shin, Dhruv Shah, Henry Leopold, David Fan, Ali Agha, Nicholas Rhinehart, Sergey Levine

CoRL 2021 Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine

NeurIPSW 2021 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

ICLR 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

IJCAI 2020 Toward a Neuro-Inspired Creative Decoder Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah