Welcome!
I am an Assistant Professor of Computer Science at NYU Courant working on problems in Robotics and Machine Learning. I am also affiliated with the Center for Data Science. Together with several wonderful colleagues I am part of the CILVR (Computational Intelligence, Learning, Vision and Robotics) group.
My lab’s goal is to get robots to generalize and adapt in the diverse world we live in. To this end, my research touches the areas of Robot Learning, Representation Learning, Reinforcement Learning, and Affordable Robotics. A talk on our recent robotics efforts is here.
Recent News
- (Dec 2022) Watch and Match is a Best Paper Award finalist at CoRL 2022!
- (Jul 2022) Excited to receive an Amazon Research Award in Robotics!
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
(Spring 2023) CSCI-UA.480-072 Special Topics: Introduction to Robot Intelligence. (Spring 2022)
(Fall 2022) CSCI-UA 473 Introduction to Machine Learning.
(Fall 2021) CSCI-GA.3033-090 Special Topics: Deep Reinforcement Learning. (Fall 2020)
(Spring 2021) CSCI-UA 74 Big Ideas in Artificial Intelligence.
Selected Research and Publications
