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Timothy D. Barfoot

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Timothy D. Barfoot
Born (1973-10-21) October 21, 1973 (age 52)
Alma materUniversity of Toronto
Known forVisual Teach and Repeat (VT&R)
State Estimation for Robotics
AwardsIEEE Fellow
Scientific career
FieldsRobotics, autonomous systems, robot state estimation
InstitutionsUniversity of Toronto
MDA Space
Apple
Oxa Autonomy

Timothy D. Barfoot (born 21 October 1973)[1] is a Canadian roboticist and researcher.[2] He is a Professor at the University of Toronto[3] and an IEEE Fellow recognized for contributions to autonomous systems, field robotics and robot state estimation.[4] His research has influenced how robots navigate in challenging environments like space, underground mines and warehouses.[4] Since 2025, Barfoot has served as Director of the University of Toronto Robotics Institute[5] and Editor-in-Chief of IEEE Transactions on Field Robotics.[6]

Research

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Barfoot leads the Autonomous Space Robotics Lab at the University of Toronto.[7] His research focuses on localization, mapping, planning and control for robots operating in large-scale, unstructured environments using onboard sensing such as cameras, lidar and radar. His work addresses long-term autonomy and robustness in GPS-denied environments.

Barfoot serves as a co-investigator in the University of Toronto’s WinTOR research program, which focuses on developing technologies for all-weather autonomous driving.[8]

Barfoot developed Visual Teach and Repeat (VT&R),[9] a navigation system for mobile robots. VT&R enables robots to autonomously repeat previously taught paths using local submaps, supporting long-term navigation through multi-experience localization. The system has been packaged into Clearpath Robotics by Rockwell Automation platforms.[10]

As part of a team led by MDA Space, Barfoot is developing technology for Canada’s proposed Lunar Utility Vehicle (LUV).[11] Barfoot’s research focuses on autonomy algorithms that will enable the LUV to navigate on its own between cargo drop-off points.[12]

Career

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Barfoot earned a B.A.Sc. in Engineering Science (Aerospace) from the University of Toronto in 1997 and a Ph.D. in Aerospace Engineering from the University of Toronto Institute for Aerospace Studies in 2002.[2]

After earning his Ph.D. in aerospace engineering from the University of Toronto in 2002, Barfoot joined MDA Robotics (now MDA Space) as a member of technical staff, later becoming senior member. At MDA, he worked on autonomous navigation technologies for planetary rovers and terrestrial vehicles.[2]

In 2007, Barfoot joined the University of Toronto as an Assistant Professor. He was promoted to Professor in 2016. From 2017 to 2019, he served as Director of Autonomous Systems at Apple, returning to the University of Toronto in 2019. He is also a Distinguished Engineer at Oxa Autonomy (part time).[2]

Barfoot authored State Estimation for Robotics, a textbook first published in 2017, with a second edition released in 2024.[13]

Select awards and honours

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  • Fellow of the Canadian Academy of Engineering (2026)[14]
  • IEEE ICRA Best Conference Paper Award (2025)[15]
  • CRV Best Paper Award in Robotics (2025)[16]
  • Gordon N. Patterson Lecturer (2025)[17]
  • IEEE ICRA Best Student Paper Award (2021)[18]
  • IEEE Fellow (2020)[4]
  • IEEE ICRA KUKA Service Robotics Best Paper (2010)[1]
  • Canada Research Chair in Autonomous Space Robotics (Tier 2, 2007–2017)[19]

References

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  1. ^ Date information sourced from Library of Congress Authorities data, via corresponding Library of Congress Linked Data Service: linked authority record n2017014673. Retrieved on 7 April 2026.
  2. ^ a b c d "Discovery". discover.research.utoronto.ca. Retrieved 2026-01-13.
  3. ^ "Autonomous Space Robotics". University of Toronto Institute for Aerospace Studies. Retrieved 2026-01-13.
  4. ^ a b c Irving, Tyler (2020-11-30). "Professor Tim Barfoot elected an IEEE Fellow". U of T Engineering News. Retrieved 2026-01-13.
  5. ^ "'Robotics as a field has never been more exciting': Professor Tim Barfoot named new director of the University of Toronto Robotics Institute". University of Toronto Robotics Institute. Retrieved 2026-01-13.
  6. ^ "IEEE Transactions on Field Robotics Publication Information". IEEE Transactions on Field Robotics. 3: C2–C2. 2026. doi:10.1109/TFR.2025.3643179. ISSN 2997-1101.
  7. ^ "ASRL // Autonomous Space Robotics Laboratory". asrl.utias.utoronto.ca. Retrieved 2026-02-23.
  8. ^ "WinTOR: All-weather autonomous driving". University of Toronto Robotics Institute. Retrieved 2026-01-13.
  9. ^ "Visual Teach and Repeat 3 navigation framework: Now open source!". University of Toronto Robotics Institute. Retrieved 2026-01-13.
  10. ^ Shahrivar, Ebrahim (2018-07-31). "Visual Teach and Repeat: A Closer Look (PART 1)". Clearpath Robotics. Retrieved 2026-01-13.
  11. ^ Space, M. D. A. "TEAM LED BY MDA SPACE SELECTED FOR CANADA'S LUNAR UTILITY VE". MDA Space. Retrieved 2026-01-13.
  12. ^ Pinto, Fahad (2025-09-03). "University of Toronto researchers developing advanced autonomy algorithms for cargo transportation on the moon". U of T Engineering News. Retrieved 2026-02-23.
  13. ^ Barfoot, Timothy D. (2024). State Estimation for Robotics: Second Edition (2 ed.). Cambridge: Cambridge University Press. ISBN 978-1-009-29989-3.
  14. ^ Pinto, Fahad (2026-05-12). "U of T Engineering professors and alumni elected to the Canadian Academy of Engineering". U of T Engineering News. Retrieved 2026-05-29.
  15. ^ "Awards and Finalists". IEEE ICRA 2025. Retrieved 2026-02-23.
  16. ^ "Conference on Robots and Vision". www.computerrobotvision.org. Retrieved 2026-02-23.
  17. ^ "G.N. Patterson Lecture". University of Toronto Institute for Aerospace Studies. Retrieved 2026-02-23.
  18. ^ "UofT in top ten universities at ICRA 2021, wins best student paper award, and more". University of Toronto Robotics Institute. Retrieved 2026-02-23.
  19. ^ "Wayback Machine" (PDF). www.chairs-chaires.gc.ca. Archived from the original (PDF) on 2025-08-26. Retrieved 2026-02-23.
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