Welcome to this webinar about privacy-preserving machine learning for robotics in human-centric environments. This webinar features four keynote presentations, covering a spectrum of critical topics including advanced robotic control, safe reinforcement learning, and the cutting-edge developments in both privacy-preserving and interpretable machine learning. Join us for this enlightening webinar and dive into a series of insightful discussions!
This is the video of Dr. Chris Pek (Delft University of Technology, Netherlands): Safe Robot Learning Through Online Verification.
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