Speed and load torque observer for rotating machines. - Dhruv Shah; Romeo Ortega; Alessandro Astolfi (CDC, 2009)

Robust Localization of an Arbitrary Distribution of Radioactive Sources for Aerial Inspection. - Dhruv Shah; Sebastian A. Scherer (CoRR, 2017)

Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence. - Dhruv Shah; Alankar Kotwal; Ajit Rajwade (GlobalSIP, 2018)

Projection Design for Compressive Source Separation Using Mean Errors and Cross-Validation. - Dhruv Shah; Ajit Rajwade (ICIP, 2019)

Swarm Aggregation Without Communication and Global Positioning. - Dhruv Shah; Leena Vachhani (IEEE Robotics Autom. Lett., 2019)

The Ingredients of Real World Robotic Reinforcement Learning. - Henry Zhu; Justin Yu; Abhishek Gupta 004; Dhruv Shah; Kristian Hartikainen; Avi Singh; Vikash Kumar; Sergey Levine (ICLR, 2020)

Toward a neuro-inspired creative decoder. - Payel Das; Brian Quanz; Pin-Yu Chen; Jae-wook Ahn; Dhruv Shah (IJCAI, 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 (Robotics: Science and Systems, 2020)

Machine learning based co-creative design framework. - Brian Quanz; Wei Sun 031; Ajay Deshpande; Dhruv Shah; Jae Eun Park (CoRR, 2020)

Low Density Parity Check Code (LDPC Codes) Overview. - Saumya Borwankar; Dhruv Shah (CoRR, 2020)

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

ViNG: Learning Open-World Navigation with Visual Goals. - Dhruv Shah; Benjamin Eysenbach; Gregory Kahn; Nicholas Rhinehart; Sergey Levine (ICRA, 2021)

RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models. - Dhruv Shah; Benjamin Eysenbach; Nicholas Rhinehart; Sergey Levine (CoRR, 2021)

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

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. - Dhruv Shah; Blazej Osinski; Brian Ichter; Sergey Levine (CoRL, 2022)

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. - Dhruv Shah; Peng Xu 010; Yao Lu 006; Ted Xiao; Alexander Toshev; Sergey Levine; Brian Ichter (ICLR, 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 (ICRA, 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 (M2VIP, 2022)

ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints. - Dhruv Shah; Sergey Levine (Robotics: Science and Systems, 2022)

Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results. - Sergey Levine; Dhruv Shah (CoRR, 2022)

AI Model Factory: Scaling AI for Industry 4.0 Applications. - Dhaval Patel 002; Shuxin Lin; Dhruv Shah; Srideepika Jayaraman; Joern Ploennigs; Anuradha Bhamidipati; Jayant Kalagnanam (AAAI, 2023)

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. - Dhruv Shah; Michael Robert Equi; Blazej Osinski; Fei Xia 002; Brian Ichter; 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 (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 (CoRL, 2023)

ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation. - Noriaki Hirose; Dhruv Shah; Ajay Sridhar; Sergey Levine (ICRA, 2023)

GNM: A General Navigation Model to Drive Any Robot. - Dhruv Shah; Ajay Sridhar; Arjun Bhorkar; Noriaki Hirose; Sergey Levine (ICRA, 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 (MILCOM, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. - Wenlong Huang; Fei Xia 002; Dhruv Shah; Danny Driess; Andy Zeng 001; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (NeurIPS, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. - Wenlong Huang; Fei Xia 002; Dhruv Shah; Danny Driess; Andy Zeng 001; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (CoRR, 2023)

SACSoN: Scalable Autonomous Data Collection for Social Navigation. - Noriaki Hirose; Dhruv Shah; Ajay Sridhar; Sergey Levine (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; et al. (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)

SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People. - Noriaki Hirose; Dhruv Shah; Kyle Stachowicz; Ajay Sridhar; Sergey Levine (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 003; Connor Schenck; David Rendleman; Dhruv Shah; Fei Xia 002; Jasmine Hsu; et al. (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration. - Ajay Sridhar; Dhruv Shah; Catherine Glossop; Sergey Levine (ICRA, 2024)

Leveraging Large Language Models to Improve REST API Testing. - Myeongsoo Kim; Tyler Stennett; Dhruv Shah; Saurabh Sinha; Alessandro Orso (NIER@ICSE, 2024)

GOAT: GO to Any Thing. - Matthew Chang; Théophile Gervet; Mukul Khanna; Sriram Yenamandra; Dhruv Shah; So Yeon Min; Kavit Shah; Chris Paxton 001; Saurabh Gupta 001; Dhruv Batra; Roozbeh Mottaghi; Jitendra Malik; et al. (Robotics: Science and Systems, 2024)

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation. - Jonathan Heewon Yang; Catherine Glossop; Arjun Bhorkar; Dhruv Shah; Quan Vuong; Chelsea Finn; Dorsa Sadigh; Sergey Levine (Robotics: Science and Systems, 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)

SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation. - Noriaki Hirose; Dhruv Shah; Kyle Stachowicz; Ajay Sridhar; Sergey Levine (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)

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. - Homanga Bharadhwaj; Debidatta Dwibedi; Abhinav Gupta 001; Shubham Tulsiani; Carl Doersch; Ted Xiao; Dhruv Shah; Fei Xia 002; Dorsa Sadigh; Sean Kirmani (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)

Traversability-Aware Legged Navigation by Learning from Real-World Visual Data. - Hongbo Zhang; Zhongyu Li 003; Xuanqi Zeng; Laura M. Smith; Kyle Stachowicz; Dhruv Shah; Linzhu Yue; Zhitao Song; Weipeng Xia; Sergey Levine; Koushil Sreenath; Yun-hui Liu (CoRR, 2024)

STEER: Flexible Robotic Manipulation via Dense Language Grounding. - Laura Smith; Alex Irpan; Montserrat Gonzalez Arenas; Sean Kirmani; Dmitry Kalashnikov; Dhruv Shah; Ted Xiao (CoRR, 2024)

Vision Language Models are In-Context Value Learners. - Yecheng Jason Ma; Joey Hejna; Ayzaan Wahid; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu 010; Danny Driess; Ted Xiao; Jonathan Tompson; et al. (CoRR, 2024)

SACSoN: Scalable Autonomous Control for Social Navigation. - Noriaki Hirose; Dhruv Shah; Ajay Sridhar; Sergey Levine (IEEE Robotics Autom. Lett., 2024)

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 010; Danny Driess; Ted Xiao; Osbert Bastani; Dinesh Jayaraman; et al. (ICLR, 2025)

Controller Design for Bilinear Neural Feedback Loops. - Dhruv Shah; Jorge Cortés 001 (IEEE Control. Syst. Lett., 2025)

Robot Data Curation with Mutual Information Estimators. - Joey Hejna; Suvir Mirchandani; Ashwin Balakrishna; Annie Xie; Ayzaan Wahid; Jonathan Tompson; Pannag Sanketi; Dhruv Shah; Coline Devin; Dorsa Sadigh (CoRR, 2025)

A Taxonomy for Evaluating Generalist Robot Policies. - Jensen Gao; Suneel Belkhale; Sudeep Dasari; Ashwin Balakrishna; Dhruv Shah; Dorsa Sadigh (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. - Shubham Gandhi; Dhruv Shah; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (CoRR, 2025)

Learning to Drive Anywhere with Model-Based Reannotation. - Noriaki Hirose; Lydia Ignatova; Kyle Stachowicz; Catherine Glossop; Sergey Levine; Dhruv Shah (CoRR, 2025)

Guiding Data Collection via Factored Scaling Curves. - Lihan Zha; Apurva Badithela; Michael Zhang; Justin Lidard; Jeremy Bao; Emily Zhou; David Snyder; Allen Z. Ren; Dhruv Shah; Anirudha Majumdar (CoRR, 2025)

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization. - Jonathan Yang; Chuyuan Kelly Fu; Dhruv Shah; Dorsa Sadigh; Fei Xia 002; Tingnan Zhang (CoRR, 2025)

Autonomous Mario Kart in the Wild: Lessons Learned From the Earth Rover Challenge at IROS 2024 [Competitions]. - Xuesu Xiao; Jie Tan 001; Michael Cho; David Hsu; Dhruv Shah; Joanne Truong; Ted Xiao; Naoki Yokoyama; Wenhao Yu 003; Tingnan Zhang; Zhuo Xu; Santiago Pravisani; et al. (IEEE Robotics Autom. Mag., 2025)

CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models. - Catherine Glossop; William Chen; Arjun Bhorkar; Dhruv Shah; Sergey Levine (CoRR, 2025)