Wei Pan
Wei Pan earned a doctorate in system identification at Imperial College London and worked at DJI, TU Delft, Manchester, and Newcastle. He is professor of Autonomous Systems and Automatic Control at Newcastle. His Robot Bayesian Brain research uses control concepts as prior distributions in a Bayesian framework. His Oxford seminar described tests across robot platforms such as automated cars, ground vehicles, and quadrotors.
- Now at
- Newcastle University
Timeline
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Earlier career
System identification and robotics
Pan earned a doctorate in system identification at Imperial College London. He also held a project leader role at DJI and an assistant professorship in robot dynamics at TU Delft.
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Earlier career
Machine learning at Manchester
He earlier held a senior lectureship in machine learning at Manchester. He taught in the AI doctoral training programme for decision making in complex systems. His research interests include Bayesian control.
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As of October 2026
Bayesian learning for control
Robot Bayesian Brain uses control theory concepts as prior distributions in Bayesian learning. The method aims to improve efficiency and the stability of robot control.
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As of October 2026
Several robot platforms
Examples for the presentation include automated cars, multiple ground vehicles, quadrotors, and spacecraft. He has a broad interest in control across robot types and is a Newcastle professor.
Sources and credits
Photo: panweihit.github.io; creator not stated. License: Not stated by source. Source: panweihit.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.