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Space and Terrestrial Autonomous Robotic Systems Lab at the University of Toronto

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Welcome to the STARS Laboratory!

We envision a future in which robotic systems are pervasive, persistent, and perceptive. We carry out research at the nexus of sensing, planning, and control, with a focus on the study of fundamental problems related to perception, representation, and understanding of the world. Our goal is to build reliable, power-on-and-go machines that can operate safely over long periods of time and in challenging, dynamic environments, for example, in homes and offices, on road networks, underground, underwater, in space, and on remote planetary surfaces. Read more about our research, follow our Twitter feed for updates about the lab, or consider joining us!

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STARS News

  • Two papers on learning and calibration for navigation to appear at ICRA 2021

    We’re excited to be present two new papers at ICRA 2021 in Xi’an, China! Our first paper describes a learning-based … more

  • PhD alumnus Valentin Peretroukhin receives G. N. Patterson Award for top dissertation!

    Congratulations to our alum Valentin Peretroukhin, who received the 2020 Gordon N. Patterson Award for the top PhD dissertation at … more

  • Traversability Uncertainty poster wins 1st Prize at IROS 2020 Workshop on Planetary Exploration Robots!

    Congratulations to Ph.D. student Olivier Lamarre and postdoc Ahmad Bilal Asghar on winning 1st prize at the IROS 2020 Workshop … more

  • Inverse Kinematics paper wins Best Workshop Contribution award at IROS 2020 Workshop on Geometric Methods!

    Big congratulations to Ph.D. students Filip Marić and Matthew Giamou for winning the Best Workshop Contribution award at the IROS … more

  • Prof. Kelly to serve on IEEE Robotics & Automation Magazine Editorial Board

    Starting January 1, 2021, Prof. Kelly will serve as an Associated Editor for the IEEE Robotics and Automation Society’s Robotics … more

  • Pixels to pixels – RA-L and IROS 2020 paper on learning latent dynamics for control from pixels!

    New RA-L and IROS 2020 work with the RLAI Lab at the University of Alberta on learning robust latent dynamics … more

  • Got calibration? New MFI 2020 paper on certifiable hand-eye calibration out now!

    Have you always wondered whether your extrinsic sensor transformation globally minimizes its calibration cost function? With our latest work on … more

  • Rotation learning paper wins Robotics: Science & Systems 2020 Best Student Paper Award!

    Congratulations to lab members Valentin Peretroukhin and Matthew Giamou and to our collaborators, David M. Rosen, W. Nicholas Green, and … more

STARS Laboratory at the University of Toronto.