Stanford Robotics Seminar ENGR319 | Autumn 2026 | Bridging Rigorous Methods with Machine Learning
This seminar details a novel framework for safe autonomy, bridging rigorous control theory with scalable machine learning. It introduces Control Barrier Functions (CBFs) for hard safety constraints and Active Inference for generating high-coverage failure test cases.
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