Posts Tagged: Tim Barfoot
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.
UofT Robotics faculty had five papers accepted at Robotics Science and Systems this year, including one best student paper award! Congrats to Animesh Garg and co-authors for their winning paper! See all the robotics papers and talks from UofT below.
The University of Toronto had an excellent showing at ICRA 2021. Robotics Institute director Yu Sun was the program chair of this year’s conference, attended by over 5,000 people worldwide. […]
IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.
aUToronto has placed first in an intercollegiate challenge to transform an electric car into a self-driving one — their third consecutive win. The team also took the top overall prize for the most cumulative points over the three years of the AutoDrive Challenge.
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