Dhruv Shah

According to our database, Dhruv Shah authored at least 38 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

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

2023

Leveraging Large Language Models to Improve REST API Testing.

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

CoRR, 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

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration.

Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine

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