Welcome to the Estimation, Search, and Planning (ESP) research group, a member of the Oxford Robotics Institute (ORI). 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 Twitter, YouTube, and GitHub accounts.
Another ESP paper at virtual IROS is Rowan's latest work on NBV planning for autonomous 3D reconstruction. It presents an updated Surface Edge Explorer (SEE++) algorithm that considers more information and is available as open source code. If you'd like to know more, there's a trailer video and presentation on YouTube and you can read the paper on arXiv.
ESP has three papers at IROS this year, which is being held virtually as an on-demand conference. All our work is already available and includes Kevin's most recent paper on occlusion-robust Multimotion Visual Odometry (MVO). You can watch a short video and his presentation about the work on YouTube and read the paper on arXiv.
Jonathan was invited to survey the popular field of asymptotically optimal sampling-based motion planning algorithms in the Annual Review of Control, Robotics, and Autonomous Systems. The paper will be published in 2021, but you can read a preprint of it on arXiv now.