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 current 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
- We are organizing a workshop on Unsupervised RL at ICML 2021. Paper submissions are open!
- VentureBeat just covered our work on visual imitation learning!
- TechCrunch just covered our work on using sound in robotics!
Recent Talks
Here are some public talks that covers my recent research:
(Oct 2020) Montreal Robotics Seminar - Robot Learning in the Wild.
(May 2020) MIT EI Seminar - Diverse data and efficient algorithms for robot learning.
Courses Taught at NYU
(Spring 2021) CSCI-UA 74 Big Ideas in Artificial Intelligence.
- I’m teaching the lecture on Robotics
(Fall 2020) CSCI-GA 3033-090 Special Topics: Deep Reinforcement Learning.
Selected Research and Publications
