The Neuroscience of Skill: Lessons from a Decade of Musculoskeletal AI
Register with organizerWhat to look forward to
Alexander Mathis will connect AI agents’ achievements in dexterous manipulation and sports to classic theories of skill learning, exploring how whole-body computational models can deepen our understanding of human movement and intelligence. A research-level Kempner Seminar, the talk will draw on Mathis’s expertise in motor control and learning.
Inside the event
Motor control, the art of coordinating muscles to produce intricate movements, is a marvel of biological intelligence: skills like playing soccer take years of practice to master. Over the past decade, AI competitions have produced musculoskeletal agents that solve dexterous manipulation tasks, play table tennis and kick soccer penalties, controlling up to 290 muscles. Alexander Mathis will link these results to classic theories of skill learning from psychology, asking what they reveal about how we learn and how we control our bodies. He will argue that we are ready to tackle skill learning computationally, at the scale of the whole body. This talk is part of the Kempner Seminar Series, a research-level seminar series, open to the public, that covers topics related to the basis of intelligence in natural and artificial systems.
Meet in Allston, MA
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Last checked: Oct 21, 2026. Confirm current availability before making plans.