Fan WU is an Associate Professor and robotics researcher with a PhD from King’s College London and a decade of experience bridging theory and real-world robot deployment. Previously a quantitative trader and applied mathematics graduate, he brings a rare blend of financial rigor and creative, sci‑fi inspired curiosity to robot skill learning, behavior orchestration, and causality-aware decision making. He led collective learning and large-scale physical robot experiments at TUM’s MIRMI and contributed to multiple EU and industry projects, aiming to scale foundation models for robotics into flexible manufacturing. Fan is focused on building deployable robot skill and behavior coordination systems while probing theoretical questions about how agents conceptualize objects, actions, and causes—driven by a long-term goal to reach human-level tool use and craftsmanship.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Mathematics and Applied Mathematics, Bachelor’s Degree, Mathematics and Applied Mathematics at University of Science and Technology Beijing
Doctor of Philosophy (Ph.D.), Robotics, Doctor of Philosophy (Ph.D.), Robotics at King's College London
Contributions:6 pushes, 1 branch in 4 years 5 months
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