Posts By: hsiegel
The Everingham prize is awarded to a researcher, or a team of researchers, who have made a selfless contribution of significant benefit to other members of the computer vision community. Raquel Urtasun and her and her colleagues Andreas Geiger, Philip Lenz, Christoph Stiller were awarded the prize thanks to their work on the KITTI Vision Benchmark Suite.
Congrats to Prof. Jessica Burgner-Kahrs who was named to Robohub's annual list "Women in robotics you need to know about". The annual list comes out every year in commemoration of Ada Lovelace Day, and in the past has featured UofT Professors Angela Schoellig, Raquel Urtasun, Sheila McIlraith, and Sanja Fidler.
ICRA 2021 videos are now available. Watch Jessica Burgner-Kahrs' keynote below!
Join the UofT Robotics community on November 8th for a one-day virtual symposium with members from across Canada’s automation ecosystem, from manufacturing to e-commerce.
In this highly-focused, single-track workshop, you'll discover the cutting edge of AI robotics, discuss common challenges, and strategize with researchers and industry partners as we close the gap between shop floor reality and practical robot and data platforms in retail and manufacturing applications.
In an interview in Canadian Business magazine, Prof. Raquel Urtasun talks about how she got into autonomous vehicles research, why transparency is important in self-driving technology, and what it’s like […]
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.
Join UofT Robotics at this 2021 IROS workshop that will foster long-term, interdisciplinary exchange on the development of safe real-world robotic systems.
Interested in a career in robotics? Join the Robotics Graduate Engineering Networking Event on Thursday, September 16th from 5-7pm.
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