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  1. Queen's
  2. Smith Eng.
  3. ECE

Estimation, Search, and Planning (ESP) Research Group

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. 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)
    Date
    Notes
    Submitted. Manuscript #2982
    Code
    Code
    Videos
    Video
    PDFs
    PDF
    arXiv