Posts Categorized: Research
We present a novel method for generating, predicting, and using Spatiotemporal Occupancy Grid Maps (SOGM), which embed future information of dynamic scenes.
Once again, the University of Toronto Robotics Institute will have a strong presence at the 2022 International Conference of Robotics and Automation with workshops by Jessica Burgner-Kahrs, Mishu Duduta, Angela Schoellig, and Goldie Nejat
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.
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