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 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 on a quest for general-purpose embodied intelligence that learns from imprecise information and achieves flexibility & efficiency of human reasoning.
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
Feb 28, 2021 | Four papers: LASER, LEAF, Legged Robots, Hand Design accepted at ICRA. |
Jan 18, 2021 |
AAAI-21 New Faculty Highlights speaker. ![]() |
Jan 18, 2021 |
Unsupervised Keypoint Representation accepted in T-PAMI. ![]() |
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! ![]() |