Dhruv Shah
rsvha.uedeeh@.dyrulkbeh

I am a graduate student in EECS at UC Berkeley, where I am advised by Sergey Levine. I am a part of the Berkeley Artifical Intelligence Research Lab (BAIR) and Berkeley Deep Drive (BDD). My research is supported by the Berkeley Fellowship for Graduate Study.

Earlier, I graduated with honors from IIT Bombay, where I received the Undergraduate Research Award and the Institute Academic Prize. I have also been fortunate to spend time at Google Research, Carnegie Mellon University, Imperial College London and the University of Sydney.

CV / Scholar / Twitter / LinkedIn

Updates

Blog Posts

Research

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

Dhruv Shah, Sergey Levine

Robotics: Science and Systems (RSS), 2022

arXiv / Summary Video / Media Coverage

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

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

International Conference on Robotics and Automation (ICRA), 2022 (Oral Talk)

arXiv / Talk @ ICRA

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

International Conference on Learning Representations (ICLR), 2022

arXiv / Talk @ ICLR / Blog Post

Rapid Exploration for Open-World Navigation with Latent Goal Models

Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine

Conference on Robot Learning (CoRL), 2021   (Oral Talk)
Workshop on Never-Ending Reinforcement Learning at ICLR 2021   (Oral Talk)

Blog Post / arXiv / Talk @ CoRL / Talk @ ICLR / Dataset / Media Coverage

ViNG: Learning Open-World Navigation with Visual Goals

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

International Conference on Robotics and Automation (ICRA), 2021

arXiv / Summary Video

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 (RSS), 2020

arXiv / Talk / Cool Demos

The Ingredients of Real World Robotic Reinforcement Learning

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

International Conference on Learning Representations (ICLR), 2020   (Spotlight Talk)

Blog Post / arXiv / Talk / Virtual Presentation

Swarm Aggregation Without Communication and Global Positioning

Dhruv Shah, Leena Vachhani

Robotics and Automation Letters (RA-L), 2019
International Conference on Robotics and Automation (ICRA), 2019

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

Dhruv Shah, Ajit Rajwade
International Conference on Image Processing (ICIP), 2019

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

Dhruv Shah, Alankar Kotwal, Ajit Rajwade
Global Conference on Signal and Information Processing (GlobalSIP), 2018