Presentation

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MUSIC: Learning Muscle-Driven Dexterous Hand Control
SessionLearning in Motion
DescriptionWe present a data-driven framework for physics-based, muscle-driven dexterous control that enables musculoskeletal hands to perform piano playing for novel musical scores. Our framework adopts a hierarchical architecture, combining high-frequency muscle control with low-frequency coordination. The method achieves coordinated bimanual motions and produces human-like activation patterns, generalizing beyond reference data.
Authors
Pei Xu
Stanford University
Yufei Ye
Stanford University
Shuchu Sun
Clemson University
Yu Ding
Stanford University
Elizabeth Schumann
Stanford University
C. Karen Liu
Stanford University
Event Type
Technical Paper
TimeThursday, 23 July 20262:30pm - 2:40pm PDT
LocationRoom 403 A
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Thursday, 23 July 20262:00pm - 3:30pm PDTRoom 403 A
Keywords
Animation
Artificial Intelligence/Machine Learning
Simulation
Registration Categories
Full Conference Supporter
Full Conference
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