Stanford Robotics Seminar ENGR319 | Winter 2026 | Robot Motion Learning w/Physics-Based PDE Priors

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education January 9, 2026 This seminar covers: • How partial differential equation (PDE)–based physics priors can provide a foundation for scalable and generalizable algorithms in robot motion learning • An introduction to an HJ PDE–derived mapping representation that unifies perception and planning To follow along with the seminar schedule, visit: https://stanfordasl.github.io/robotics_seminar/ Ahmed H. Qureshi, Ph.D. Assistant Professor in the Department of Computer Science at Purdue University