Jump to Content
  1. Queen's
  2. Smith Eng.
  3. ECE

Estimation, Search, and Planning (ESP) Research Group

Welcome

Welcome to the Estimation, Search, and Planning (ESP) research group, a member of the Ingenuity Labs Research Institute and the Department of Electrical and Computer Engineering (ECE) in Smith Engineering at Queen's University. We motivate a knowledge-based approach to robotics research by taking on challenging, real-world problems. We do this to test our solutions and force us to understand the fundamental challenges of next-generation robots.

Please have a look around our website to find out more about who we are and what we do, including our publicly available code and datasets. You may also be interested in our YouTube and GitHub accounts.

Recent News

  1. Fully Connected Informed Trees (FCIT*)

    Tyler and Jonathan have been working with Wil Thomason (The AI Institute), Zak Kingston (CoMMA Lab, Purdue University), and Lydia Kavraki (Kavraki Lab, Rice University) on extending their exciting work on vector accelerated motion planning (VAMP). Fully Connected Informed Trees (FCIT*) uses SIMD instructions to achieve real-time almost-surely asymptotically optimal planning and has been submitted to ICRA 2025. If you'd like to know more you can watch the trailer video on YouTube, read the paper on arXiv, and checkout the code.

    Watch on YouTube
    Watch the video on YouTube.