Animesh Garg
Assistant Professor. CS. Robotics. Machine Learning.

I am an Assistant Professor of Computer Science at University of Toronto and a Faculty Member at the Vector Institute. I direct the UofT People, AI and Robotics (PAIR) group. I am affiliated with Mechanical and Industrial Engineering (courtesy) and UofT Robotics Institute. I am also a Sr. Research Scientist at Nvidia.
I earned M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. I worked with Ken Goldberg at Berkeley AI Research (BAIR). I also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. I was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.
My current research focuses on machine learning algorithms for perception and control in robotics. I develop algorithmic methods to enable efficient robot learning for long-term sequential tasks through Generalizable Autonomy. The principal focus of my research is to understand representations and algorithms to enable the efficiency and generality of learning for interaction in autonomous agents.
Research Interests: Robotics, Reinforcement Learning & Optimal Control, Computer Vision
Current Applications: Mobile-Manipulation in Retail/Warehouse, personal, and surgical robotics.
Read more at PAIR Website
Link to (reasonably recent) CV.
Contact me: garg@cs.toronto.edu
Follow me:
Recent Talk
MIT Deep Learning Seminar highlighting recent work (January 2020)
Other Recent Talks
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Structured Inductive Bias for Imitation from Videos
CVPR Workshop on Learning from Instructional Videos, (Jun 2020). -
Unsupervised Representations towards Counterfactual Predictions
CVPR Workshop on Compositionality in Computer Vision, (Jun 2020).
Potential Applicants
I am accepting new students at all levels. Thanks for your interest in my group.
However, kindly do not contact me directly with regard to Graduate Admissions.
Please see the opportunities on lab website and contact me accordingly.
Recent News
Jan 12, 2021 | Three papers: CSC, C-Learning, Skill Transfer accepted at ICLR. |
Dec 1, 2020 | The paper on DIBS accepted at AAAI 2021. |
Nov 30, 2020 | Area Chair for ICLR’21, ICRA’21, RSS’21, CVPR’21, and ICCV’21. |
Oct 18, 2020 | Co-organizing COSPAR 2021 workshop on Autonomy in Space Science |
Oct 15, 2020 |
1 new paper on Learning based Hybrid control accepted at CoRL 2020! ![]() |
Oct 1, 2020 | Publicity Chair for CoRL’20 and Area Chair for NeurIPS’20 & CoRL’20. |
Sep 25, 2020 |
3 new papers on Causality and Deep Learning accepted at NeurIPS 2020! ![]() |
Jul 1, 2020 |
New paper on Mechanical Search accepted at IROS 2020! ![]() |
Jun 16, 2020 | Invited Workshop talks at CVPR 2020 |
Jun 1, 2020 |
Two new papers accepted at ICML 2020! ![]() |