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Estimation, Search, and Planning (ESP) Research Group

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Tyler Wilson

Tyler Wilson
  1. M.A.Sc. (ECE, Queen's)
  2. B.A.Sc. (ECE, Queen's)

I joined ESP and Queen's Ingenuity Labs at the start of 2024 as a MASc student.

My research is in motion planning in robotics, and how to efficiently and intelligently find paths through difficult high-dimensional spaces. I'm also interested in leveraging AI as a tool to potentially create a more intelligent heuristic with which to path plan.

I like to ski, draw, and boulder, and I prefer the first programming language I ever learned over any other: Python!

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  1. Authors
    1. T. S. Wilson
    2. W. Thomason
    3. Z. Kingston
    4. J. D. Gammell
    Title
    AORRTC: Almost-surely asymptotically optimal planning with RRT-Connect
    Publication
    Journal
    IEEE Robotics and Automation Letters (RA-L)
    Date
    Notes
    Submitted, Manuscript # 25-1915
    Code
    Code
    Videos
    Video
    PDFs
    PDF
    arXiv
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  1. Authors
    1. T. S. Wilson
    2. W. Thomason
    3. Z. Kingston
    4. L. E. Kavraki
    5. J. D. Gammell
    Title
    Nearest-neighbourless asymptotically optimal motion planning with Fully Connected Informed Trees (FCIT*)
    Publication
    Conference
    Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
    Location
    Atlanta, GA, USA
    Date
    Code
    Code
    Videos
    Video
    PDFs
    PDF
    arXiv
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  1. Authors
    1. T. S. Wilson
    2. W. Thomason
    3. Z. Kingston
    4. J. D. Gammell
    Title
    AORRTC: Finding optimal paths with AO-x and RRT-Connect
    Publication
    Conference
    Proceedings of the Workshop on RoboARCH: Robotics Acceleration with Computing Hardware and Systems, IEEE International Conference on Robotics and Automation (ICRA)
    Location
    Atlanta, GA, USA
    Date