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Timothy D. Barfoot

Timothy D. Barfoot

D-Index & Metrics

Computer Science

D-Index
48
Citations
11184
World Ranking
6113
National Ranking
240

Overview

Timothy D. Barfoot is affiliated with the University of Toronto in Canada. Their research spans the fields of Engineering and Computer Science, with a particular focus on Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Automotive Engineering.

Barfoot's main research topics include Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Target Tracking and Data Fusion in Sensor Networks, Autonomous Vehicle Technology and Safety, Gaussian Processes and Bayesian Inference, Remote Sensing and LiDAR Applications, and Indoor and Outdoor Localization Technologies.

Among recent publications, Barfoot has contributed to:

  • Boreas: A multi-season autonomous driving dataset, 2023, The International Journal of Robotics Research
  • Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?, 2022, IEEE Robotics and Automation Letters
  • A New Wave in Robotics: Survey on Recent MmWave Radar Applications in Robotics, 2024, IEEE Transactions on Robotics
  • Continuum robot state estimation using Gaussian process regression on SE(3), 2022, The International Journal of Robotics Research
  • Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization, 2021, IEEE Robotics and Automation Letters

Frequent coauthors of Barfoot include:

  • Angela P. Schoellig (23 publications)
  • David J. Yoon (21 publications)
  • Keenan Burnett (20 publications)
  • Frederike Dümbgen (19 publications)
  • Hugues Thomas (12 publications)

The researcher has published extensively in venues such as:

  • arXiv (Cornell University) with 72 publications
  • IEEE Robotics and Automation Letters with 17 publications
  • IEEE Transactions on Robotics with 10 publications
  • The International Journal of Robotics Research with 4 publications
  • Robotica with 4 publications

Barfoot is also the author of the book State Estimation for Robotics, published by Cambridge University Press in 2024, which has earned attention in academic circles.

Best Publications

  • Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic

    Jonathan D. Gammell;Siddhartha S. Srinivasa;Timothy D. Barfoot

  • State Estimation for Robotics

    Timothy D. Barfoot

  • Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

    Jonathan D. Gammell;Siddhartha S. Srinivasa;Timothy D. Barfoot

  • Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems

    Timothy D. Barfoot;Paul T. Furgale

  • Learning-based Nonlinear Model Predictive Control to Improve Vision-based Mobile Robot Path Tracking

    Chris J. Ostafew;Angela P. Schoellig;Timothy D. Barfoot;Jack Collier

  • Visual teach and repeat for long-range rover autonomy

    Paul Furgale;Timothy D. Barfoot

  • Traffic management system for a passageway environment

    Timothy D. Barfoot;Joshua A. Marshall

  • Continuous-time batch estimation using temporal basis functions

    Paul Furgale;Timothy D. Barfoot;Gabe Sibley

  • Motion planning for formations of mobile robots

    Tim D. Barfoot;Christopher M. Clark

  • Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking

    Chris J. Ostafew;Angela P. Schoellig;Timothy D. Barfoot

  • Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search

    Jonathan D Gammell;Timothy D Barfoot;Siddhartha S Srinivasa

  • Informed Sampling for Asymptotically Optimal Path Planning

    Jonathan D. Gammell;Timothy D. Barfoot;Siddhartha S. Srinivasa

  • Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments

    Chris J. Ostafew;Angela P. Schoellig;Timothy D. Barfoot

  • Informed Sampling for Asymptotically Optimal Path Planning (Consolidated Version)

    Jonathan D Gammell;Timothy D Barfoot;Siddhartha S Srinivasa

  • Decentralized Localization of Sparsely-Communicating Robot Networks: A Centralized-Equivalent Approach

    K.Y.K. Leung;T.D. Barfoot;H. Liu

  • Online visual motion estimation using FastSLAM with SIFT features

    T.D. Barfoot

  • Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression

    Tim D. Barfoot;Chi Hay Tong;Simo Särkkä

  • Autonomous underground tramming for center-articulated vehicles

    Joshua Marshall;Timothy Barfoot;Johan Larsson

  • Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning

    Sanjiban Choudhury;Jonathan D. Gammell;Timothy D. Barfoot;Siddhartha S. Srinivasa

  • The UTIAS multi-robot cooperative localization and mapping dataset

    Keith Yk Leung;Yoni Halpern;Timothy D Barfoot;Hugh Ht Liu

  • Experimental and simulation results of wheel-soil interaction for planetary rovers

    R. Bauer;W. Leung;T. Barfoot

  • Full STEAM ahead: Exactly sparse gaussian process regression for batch continuous-time trajectory estimation on SE(3)

    Sean Anderson;Timothy D. Barfoot

Frequent Co-Authors

Paul Furgale
Paul Furgale ETH Zurich
Gordon R. Osinski
Gordon R. Osinski University of Western Ontario
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Livio L. Tornabene
Livio L. Tornabene University of Western Ontario
Edward A. Cloutis
Edward A. Cloutis University of Winnipeg
Paul J. Sylvester
Paul J. Sylvester Texas Tech University
Clive Dickinson
Clive Dickinson University of Manchester
David Wettergreen
David Wettergreen Carnegie Mellon University
Steven L. Waslander
Steven L. Waslander University of Toronto
Bruce A. Francis
Bruce A. Francis University of Toronto

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