Biography
Jonathan Gammell was a Departmental Lecturer in Robotics at the Oxford Robotics Institute (ORI). He lead the Estimation, Search, and Planning (ESP) research group which sought to develop and exploit better understandings of fundamental robotic problems. He holds a Ph.D. and M.A.Sc. in Aerospace Science & Engineering from the University of Toronto (UTIAS) and a B.A.Sc. in Mechanical Engineering (Co-op) with a Physics Option from the University of Waterloo.
Jonathan is a dedicated 'full-stack' roboticist with extensive experience solving real-world problems with robotic hardware and software. He has deployed autonomous systems around the world on a variety of projects.
Most Recent Publications
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning
The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning
The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort
Application of a robotics path planning algorithm to assess the risk of mobile bearing dislocation in lateral unicompartmental knee replacement.
Application of a robotics path planning algorithm to assess the risk of mobile bearing dislocation in lateral unicompartmental knee replacement.
