Posts Tagged: Tim Barfoot
aUToronto has placed first overall at the 2025 SAE AutoDrive Challenge™ II
UTIAS professor Tim Barfoot and PhD student Alec Krawciw are partnering with MDA Space to create and test algorithms for Canada’s proposed Lunar Utility Vehicle
Tim Barfoot, a global expert in autonomous systems, will lead the Robotics Institute for the next five years
University of Toronto Robotics Institute researchers will be sharing some of their latest breakthroughs at the Conference on Robots and Vision from May 27-29 in Calgary, Alberta
The Canadian Robotics Council's 2024 What We Heard Report captures key conversations from the third annual Canadian Robotics Council Symposium and provides actionable solutions on how Canada can leverage robotics to address its productivity challenges.
Robotics Institute graduate student, Alexander Krawciw, was awarded a 2024 Vanier Scholarship for demonstrated excellence in the areas of leadership, research impact and academics.
PhD student Sven Lilge with a continuum robot The UofT Robotics Institute brings together professors who work in 14 different areas of robotics at UofT. This is a story about […]
Where can machine learning help robotic state estimation? That’s the question Prof. Tim Barfoot addressed in the November 11 edition of the Carnegie Mellon Robotics Institute Tartan SLAM series, a […]
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.
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