Estimation, Search, & Planning Research Group
Welcome to the Estimation, Search, and Planning (ESP) research group at the Oxford Robotics Institute (ORI).
ESP is led by Dr. Jonathan Gammell and is focused on studying and understating the fundamental problems of robotics as motivated by real-world problems.
Please visit the group's webpage to find out more about our individual research, including our publicly available available code and datasets.
Rowan has done some great work trialling an autonomous aerial surveying system at the Fire Services College. This work is in collaboration with the @dynamicrobots at @oxfordrobots. https://t.co/sUi0YFmDsd
Jonathan has returned from IROS 2022 where ESP released its code for evaluating motion planners at the Workshop on Evaluating Motion Planning Performance (EMPP). Planner Developer Tools (PDT) simplifies experimental design, calculates meaningful… https://t.co/2VRKF4Loby
Jonathan worked with @wilthomason and @marlinpolo to apply asymmetric bidirectional search to task and motion planning (TMP). Task and Motion Informed Trees (TMIT*) is an anytime TMP algorithm that finds initial solutions and then improves them… https://t.co/wRwp1hUlAX #IROS2022
RT @OOEC_Oxford: Our study describes a novel robotics dislocation analysis tool to improve surgical implantation parameters and to assess n…
Rowan has submitted a journal paper on the Surface Edge Explorer (SEE) to IJRR. It not only contains all the latest advances to the open source code but also really detailed simulations and experiments. Please check out the trailer video or multimedia… https://t.co/1aQghsKYoa
RT @KavrakiLab: We are pleased to announce the inaugural workshop on “Evaluating Motion Planning Performance: Metrics, Tools, Datasets, and…
Congratulations to @marlinpolo, whose paper on asymmetric bidirectional planning has just appeared in IJRR. You can watch a short trailer video of the work on YouTube and check out the open-source code. If you want to find out even more, the paper is … https://t.co/e7kkoC4SFs
Jonathan has been working with @vnhartmann to extend @marlinpolo's work on effort-informed planning to multiquery problems. Their Effort Informed Roadmaps (EIRM*) can solve individual problems an order-of-magnitude faster and has been submitted to ISRR… https://t.co/9TGlWs0Hwc
RT @oxfordrobots: “System Team Brown-bag sessions” with a focus on “robotics engineering” and “robots in the real world”. Our speaker Mart…
RT @oxfordrobots: Launching tomorrow is the “System Team Brown-bag sessions” with a focus on “robotics engineering” and “robots in the real…