Posts By: hsiegel

Raquel Urtasun awarded Everingham Prize at ICCV21

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.

It’s Ada Lovelace Day: Let’s celebrate UofT’s women in robotics

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.

Coming 08.11.21: Retail & Manufacturing Robotics Workshop

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.

Bringing transparency to self-driving technology

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 3 navigation framework: Now open source!

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.
Showing 1 - 10 of 65 results