Animesh Garg

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
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Recent Talk

MIT Deep Learning Seminar highlighting recent work (January 2020)

Other Recent Talks

• 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.