Robotics news

U of T Engineering has the largest and most diverse robotics program in Canada, and together with a range of strategic industrial partners we are ushering in a future where robots will extend human capabilities and improve lives.

This animated video shows the gripper tool in action: magnetic fields make the tiny hand move.

U of T Engineering researchers advance magnetic microrobotic surgical tools for minimally invasive brain surgery

May 24, 2023

The team, led by Professor Eric Diller (MIE), is studying the feasibility of the tool for improving the precision of neurosurgery tasks

The average life expectancy after a glioblastoma diagnosis is around 15 months (Image: Li Chen, Siqi Ou)

Robotic nano-surgery shown effective at treating aggressive brain cancer in mice

April 11, 2023

U of T Robotics and SickKids researchers are using nanorobotic swarm surgery to treat glioblastoma in multiple in vivo mouse trials

A man in a suit stands in front of a slightly out of focus brown building in the background.

Professor Yu Sun receives U of T President’s Impact Award

March 10, 2023

The award recognizes Sun’s outstanding contributions to robotics at micro-nano scales

Crowded street in downtown street at rush hour i

Improved visual perception method could help robots navigate crowded spaces

November 2, 2022

U of T Engineering researchers have developed a novel network structure that joins depth perception and egomotion estimation to improve the accuracy of both

Dr. Hugues Thomas (UTIAS) and his collaborators created a new method for robot navigation based on self-supervised deep learning (Photo: Safa Jinje)

UTIAS researchers design socially aware robots to move safely around people

May 13, 2022

Collaboration between Professor Tim Barfoot (UTIAS) and Apple Machine Learning applies new approach for navigating spaces with moveable obstacles

This soft robot is made of a common polymer combined with carbon nanotubes, and acts like an ‘artificial muscle’ that contracts in response to electric currents. New materials for soft robotics is the focus one of three U of T Engineering projects funded by the Canada Foundation for Innovation this week. (Photo: Mihai Duduta)

From soft robotics to treating neurological disorders: Three U of T Engineering projects supported by CFI

February 22, 2022

Funding from the John R. Evans Leaders Fund will help develop new technologies and train highly qualified personnel

Binbin Ying (MIE) demonstrates the performance of iSkin by sticking it to the outside of his winter jacket, in this photo, taken Feb. 27, 2020, before the COVID-19 pandemic. The cold-tolerant, stretchable, sticky sensor converts physical movement into electrical signals, and can be used in wearable electronics as well as many other applications. (Photo: Runze Zuo)

iSkin: The cold-tolerant, stretchable, sticky sensor that could power a new generation of wearable electronics and more

August 3, 2021

Professor Xinyu Liu (MIE) and his team have built a flexible, conductive hydrogel that works at temperatures down to -93 C

In this photomicrograph, points of patterned laser light (blue) are being projected on computationally selected positions to activate the muscles of a genetically modified, one-millimetre-long C. elegans worm. The technique could offer a new way of developing organism-based microrobots for a variety of different applications. (Image: Xianke Dong, Zhaoyi Xu)

RoboWorm: Light-controlled organism offers a new strategy for micro-scale robotics

July 28, 2021

Professor Xinyu Liu (MIE) and his team used computer-controlled light to direct the motion of a simple worm, a technique that could pave the way for entirely new kinds of robots

Zeus is Chevolet Bolt retrofitted to become a self-driving vehicle by a team of U of T Engineering students and researchers. Professor Steven Waslander (UTIAS) and his collaborators are leading a new project that will transform Toronto into a global hub for research and development related to autonomous driving in winter. (Photo: aUToronto)

WinTOR: New partnership will train self-driving cars to handle tough winter conditions

July 6, 2021

U of T Engineering joins with four leading companies to develop new technologies to make autonomous vehicles more resilient in the face of snow, ice and other challenges

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