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
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
Stanford Online
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