AI Seminar Series 2021: Mo Chen, Optimal Control and Machine Learning in Robotics

The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.

On January 8, at the first AI Seminar of 2021, Simon Fraser University Assistant Professor Mo Chen presented "Optimal Control and Machine Learning in Robotics".

Autonomous mobile robots are becoming pervasive in everyday life, and hybrid approaches that merge traditional control theory and modern data-driven methods are becoming increasingly important. Mo’s talk begins with a discussion of safety verification methods, and their computational and practical challenges. He then examines connections between optimal control and reinforcement learning, and between optimal control and visual navigation.

Watch the full presentation below:

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