I am a Stephen Fleming Early Career Professor in Computer Science at Georgia Tech. I am in the School of Interactive Computing affiliated with Robotics and Machine Learning programs. I also hold courtesy appointments at University of Toronto and Vector Institute. I have previously held research leadership positions at Nvidia and Apptronik.

My research vision is to build the Algorithmic Foundations for Generalizable Autonomy, that enables robots to acquire skills, at both cognitive & dexterous levels, and to seamlessly interact & collaborate with humans in novel environments. My group focuses on understanding structured inductive biases and causality for decision making. In particular we are looking at multi-modal object-centric and spatiotemporal event representations, self-supervised pre-training for reinforcement learning & control, principle of efficient dexterous skill learning.

Research Interests: Foundation Models, Reinforcement Learning, Robotics, 3D Vision.
Current Applications: Self-Driving Labs, Surgical Robotics, Personal Robotics.

Check out PAIR Group for info on reseearch projects and how to join.

News

Recent Talks

Priors as Abstractions for Autonomy

Priors as Abstractions for Autonomy

June 2024, CVPR CORR Workshop

Towards Generalizable Autonomy

Towards Generalizable Autonomy

Mar 2023, NURO Seminar Series

Building Blocks of Embodied AI

Building Blocks of Embodied AI

Oct 2022 Stanford Robotics Seminar

Experience

2024-
2024-2025

Apptronik

Chief Scientific Officer

2018-2024

Nvidia Research

Senior Staff Research Scientist

2019-2023
2016-2018

Stanford University

Postdoc in Computer Science

Education

2011—2016

UC Berkeley

Ph.D. in Operations Research

MS in Computer Science

2010—2011

Georgia Tech

MS in Industrial Engineering

2006—2010

University of Delhi

B.E. in Manufacturing Processes & Automation

Teaching

CS 8803

Deep Reinforcement Learning (Grad)

F24, F25

CSC 375

Algorithmic Intelligence in Robotics (UG)

F20, Sp22

CSC 475

Introduction to Reinforcement Learning (UG)

Sp21, F21

CSC 2621

Reinforcement Learning (Grad)

Sp20