Welcome to the Toronto Intelligent Systems Lab

Our lab is a place for computer scientists and creative thinkers to come together and design the next generation of algorithms for robotic intelligence. The lab is located at the University of Toronto and led by Igor Gilitschenski.

Welcome to the Toronto Intelligent Systems Lab

Research Agenda

The goal of our research is to enable robust interactive autonomy in robotics. Our current work focuses on understanding the foundations of robot learning by using real-world data for creating more realistic simulation environments. We are also interested in novel perception and sensing modalities. Overall, our research spans basic problems in machine learning, computer vision, and robotics. Current interests involve the following topics:

  • Robotics: Robotic Perception and Robot Learning with applications in Autonomous Navigation and Manipulation.
  • Computer Vision: Efficient & Editable Neural 3D Reconstruction, Neuromorphic Vision, Pose & Motion Estimation.
  • Machine Learning: Geometric Deep Learning, Causal Representation Learning, Reinforcement Learning, Imitation Learning.