On Thursday, September 22, 2022, Republic of Korea President Yoon Suk-yeol visited the University of Toronto Robotics Institute for a whirlwind sampling of AI robotics demos by Professors Xinyu Liu, Alex Mihailidis, and Yu Sun, as well as the aUToronto student team.
Prof & Associate Vice President, International Partnerships at University of Toronto, Alex Mihailidis’s Postdoctoral fellow, Brokoslaw Laschowski, demonstrated T-BLUE, a wearable robotic exoskeleton for walking assistance and rehab. The wearable bionic leg is controlled by artificial intelligence. It provides assistance, rehabilitation, and augmentation to human movements such as walking, standing, and climbing stairs. Powered by computer vision and deployed on mobile and embedded devices, T-BLUE is can think and control itself in a way that is similar to autonomous cars. www.iatsl.org
Robotics Institute Director Prof Yu Sun demonstrated his nanobot which is used for manipulating and characterising nanomaterials and single transistors in an IC chip inside the vacuum chamber of an electron microscope. This technology can be used for fault analysis in semiconductor manufacturing and precision operation in healthcare such as robotic cell surgery. amnl.mie.utoronto.ca
Prof Xinyu Liu’s graduate student Zhanfeng Zhou and postdoctoral fellow Peng Pan demonstrated a five-finger robotic hand mounted on a robotic arm with deep-learning algorithms that allow it to scan a table and grasp a target object autonomously. The hand can also visually recognize an object in a human hand and take it over as part of a safe human-robot collaboration. https://liulab.mie.utoronto.ca/
UofT’s aUToronto is the number one award-winning, student-run autonomous vehicle team in North America. Team Principal Jiachen (Jason) Zhou (MASc student) and Team Student Advisor, Jingxing (Joe) Qian (PhD student), demonstrated aUToronto’s multimodal perception system for autonomous driving. The system is able to intelligently identify various types of objects on the road and estimate their states of motion in both 2D and 3D. Using advanced computer vision and AI technologies, the system allows the vehicle to achieve real-time high-quality scene understanding that is essential for self-driving. www.autoronto.ca
These demos were just a small sample of the breadth of research coming out of the Robotics Institute. You can keep up to date on our newsfeed and by following us on social media.