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Igor Gilitschenski

U of T researchers develop breakthrough method for faster, more reliable AI training

A team of researchers that includes Claas Völcker and Igor Gilitschenski from the University of Toronto developed REPPO, a new AI training method that improves speed, reliability and efficiency for reinforcement learning systems used in robotics and autonomous technologies.

SRI Director David Lie and CS collaborators awarded $5.6 million for cutting-edge research on robust, secure, and safe AI

SRI Director David Lie, who is cross-appointed to the Department of Computer Science, is leading a team of 18 researchers in a new end-to-end analysis of the AI pipeline—from data acquisition and security to model training, privacy protection, and beyond.

Toyota Research Institute partners with U of T researchers to advance vision-language models for robot manipulation

Toyota Research Institute partners with U of T researchers to advance vision-language models for robot manipulation

Assistant professors Florian Shkurti and Igor Gilitschenski are researching new methods of vision-language models for robot manipulation technologies to improve how robotics systems perceive and safely interact with people and their environment.