Bridging Rigorous Methods with Machine Learning in Robotics
1:01:52·2026·graduate level·Standalone Lecture
This Stanford seminar explores a novel framework for integrating formal synthesis with machine learning to ensure robust safety and stability in learned robotic control policies.
EngineeringSignal Processing & RoboticsControl & Dynamical SystemsReinforcement Learningmachine learning
For more information about Stanford’s graduate programs, visit:
October 2, 2026
This seminar covers:
Seminar notes & discussion
No public seminar notes on this lecture yet.
