Posts Categorized: Research
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.
Professor Steven Waslander 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.
A chronological listing of all ICRA 2021 events involving UofT researchers
Robotics Institute professor Maria Yablonina is working on a collaboration with Hassell architects that has just received funding to create a new framework for reconfigurable robotics, going beyond the traditional robotics for space operations.
Come and network with Toronto's growing AV ecosystem at UofT Robotics’ Autonomous Vehicle Workshop. This two-day event will take place June 15-16 and showcase the latest in Canada's cutting edge autonomous vehicle technology.
Don’t miss Davide Scaramuzza’s seminar coming up May 14 at 1pm ET. Subscribe to our mailing list with your UofT address to join.
Professor Eric Diller (MIE) is collaborating with medical researchers to develop dexterous, magnetically controlled microrobots that could perform minimally invasive brain surgery.
Robotics Institute faculty member Florian Shkurti won an Amazon worldwide Research Award for his proposal on generating physically realizable adversarial driving scenarios via differentiable physics and rendering simulators.
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