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.
Jianeng is presenting his work on continuous-time trajectory estimation using event cameras at ICRA 2024 in Yokohama, Japan. The paper is already published in RA-L with an open access version available. You can watch his presentation on YouTube and if you're in Yokohama for ICRA, come say hello and talk event-based state estimation!
We do a lot of presentations on our work in the Estimation, Search, and Planning (ESP) research group, so we've developed our own presentation tool to make them better. LaTeX Presents builds on LaTeX and Beamer to quickly and easily make academic presentations with lots of images and videos. If that sounds interesting to you, check out a very simple demonstration or try the code yourself.
The Estimation, Search, and Planning (ESP) research group has moved! ESP is excited to now be at Queen's University in Kingston, Canada after great years at the Oxford Robotics Institute (ORI) in Oxford, UK. We're going to be continuing our knowledge-based approach to robotics research as part of the Ingenuity Labs Research Institute and the Department of Electrical and Computer Engineering (ECE) in Smith Engineering.
