AI Seminar Series 2020: Scott Niekum on Scaling Probabilistically Safe Learning to Robotics

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

On April 24, 2020, Scott Niekum, Assistant Professor and Director of the Personal Autonomous Robotics Lab (PeARL) in the Department of Computer Science at UT Austin, presented Scaling Probabilistically Safe Learning to Robotics.

Neikum’s talk touches on developments that could allow robots to learn through imitation, with an emphasis on ensuring that they act “safely”, which he describes as meeting or exceeding a measure of performance with a probabilistic guarantee of correctness.

Watch his full presentation below:

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