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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, Bluesky, and GitHub accounts.

Recent News

  1. ESP @ ICRA 2026 — Real-time incremental planning

    Mitchell and Tyler have an exciting paper on planning in unknown, changing, and dynamic environments at ICRA 2026 in Vienna, Austria. We show that modern a.s.a.o. planners are now so fast that it's often better to just replan from scratch instead of updating an existing plan. This work was in collaboration with Andrew Liu, Joseph Ruan, and Zak Kingston from the CoMMA Lab at Purdue University. We have the open access paper on arXiv, a trailer video on YouTube and we're looking forward to seeing you in Vienna at ICRA!

    Watch on YouTube
    Watch the video on YouTube.