news 2022

A team of researchers at the University of Toronto has found a way to enhance the visual perception of robotic systems by coupling two different types of neural networks.

A team of researchers led by University of Toronto Professor  Tim Barfoot  is using a new strategy that allows robots to avoid colliding with people by predicting the future locations of dynamic obstacles in their path. The project, which is supported by Apple Machine Learning, will be presented at the International Conference on Robotics and Automation in Philadelphia at the end of May.

Preparing for an online start to the winter term: for more information. Trailblazing research is transforming the field of rehabilitation medicine by developing robotic exoskeleton legs capable of autonomous control and decision making  Brokoslaw Laschowski is using his interdisciplinary education - spanning four academic degrees - as a toolkit to integrate robotics technology with rehabilitation medicine.