Posts Categorized: Research
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.
Pepper isn’t your average seniors’ residence care worker. That was immediately evident when the diminutive robot arrived at the Yee Hong Centre for Geriatric Care in Scarborough, Ont. to lead weekly exercises, call bingo numbers and take visitors’ temperatures during the pandemic.
Join us on January 27, 2022 at 4 pm ET for Dr. Goldie Nejat's MScAC talk entitled "Hi, How Can I Help You?": Intelligent Robots as a Part of our Everyday Lives — From our Workplaces to our Homes
Can tiny, worm-like robots revolutionize the way surgeons work? How will human-robot interactions be improved? Can AI and robotics create self-driving cars that make winter driving safer?
Meet the people behind the research transforming our world in the Groundbreakers video series that dropped today – Nov. 29. Check out the YouTube premiere event and hear a special […]
The technology behind self-driving cars has been racing ahead – and as long as they are cruising along familiar streets, seeing familiar sights, they do very well. But the University of Toronto’s Florian Shkurti says that when driverless vehicles encounter something unexpected, all that progress can come screeching to a halt.
ICRA 2021 videos are now available. Watch Jessica Burgner-Kahrs' keynote below!
Visual Teach and Repeat (VT&R) is a navigation system for mobile robots developed and maintained by Timothy Barfoot and his team at the Autonomous Space Robotics Lab (ASRL) at the University of Toronto Institute for Aerospace Studies (UTIAS). The Visual Teach and Repeat 3 (VT&R3) package, which is the C++ implementation of the Visual Teach and Repeat system for robot navigation with a camera or LiDAR sensor, is now available on github.
Watch Tim Barfoot's keynote on vision-based navigation at the 2021 International Conference on Intelligent Robots and Systems.
New article in Science Robotics: Humanoid robots that behave with less authority are more persuasive
In the future, socially interactive robots could help seniors age in place or assist residents of long-term care facilities with their activities of daily living. But will people actually accept advice or instructions from a robot? A new study published in Science Robotics suggests that the answer hinges on how that robot behaves.
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