Stanford Robotics Seminar ENGR319 | Winter 2026 | Robot Motion Learning w/Physics-Based PDE Priors
This seminar introduces a robot motion planning framework that embeds physics-based PDE priors (specifically the Eikonal equation) into neural networks, achieving real-time inference in high-dimensional spaces while eliminating the need for weeks of expert data gathering required by conventional data-driven methods.