I am an Assistant Professor of Computer Science at NYU Courant and part of the CILVR group. Before that, I was at UC Berkeley for a postdoc, at CMU Robotics Institute for a PhD, and at IIT Guwahati for undergrad. My short bio is here.
Research: I run the General-purpose Robotics and AI Lab (GRAIL) with the goal of getting robots to generalize and adapt in the messy world we live in. Our research focuses broadly on robot learning and decision making, with an emphasis on large-scale learning (both data and models), representation learning for sensory data, developing algorithms to model actions and behavior, reinforcement learning for adapting to new scenarios, and building open-sourced affordable robots. A talk on our robotics efforts is here. If you are interested in joining our lab, please read this.
Recent News
- (Feb 2025) Honored to receive the Sloan Fellowship.
- (Sep 2024) Our zero-shot Robot Utility Models was covered by Tech Review & The Robot Report.
- (May 2024) Honored to receive the NSF CAREER award and the RAL Early Career award!
- (Feb 2024) Our VLM-based Ok-Robot was covered by Tech Review, Venture Beat & Tech Xplore.
Recent Talks
Here are some public talks that covers my recent research:
(March 2023) CMU RI Seminar - A Constructivist’s Guide to Robot Learning.
(May 2022) ETHZ Robot Autonomy Seminar - The Surprising Effectiveness of Representations for Robotics.
(May 2020) MIT EI Seminar - Diverse Data and Efficient Algorithms for Robot Learning.
Courses Taught at NYU
(Fall 2024) CSCI-UA.480-073 Special Topics: Introduction to Robot Intelligence. (Fall 2023, Spring 2022, Spring 2023)
(Spring 2024) CSCI-GA.3033-090 Deep Decision Making and Reinforcement Learning. (Fall 2021, Fall 2020)
(Fall 2022) CSCI-UA 473 Introduction to Machine Learning.
(Spring 2021) CSCI-UA 74 Big Ideas in Artificial Intelligence.
Selected Research and Publications
