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.
News
- (Jul 2022) Excited to receive an Amazon Research Award in Robotics!
- (Jan 2022) Tech Xplore covered our work on non parametric imitation!
- (Jul 2021) WSJ, TechCrunch covered our work on using sound in robotics!
Recent Talks
Here are some public talks that covers my recent research:
(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 2022) CSCI-UA 473 Introduction to Machine Learning.
(Spring 2022) CSCI-UA.480-072 Special Topics: Introduction to Robot Intelligence.
(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
