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About this paper
Gabriel Parra, Kimia Khoshnami, Daniel S. Brown, Laura A. Hallock
The authors develop a model that maps desired muscle-activation patterns to robot trajectories using surface electromyography (sEMG). Flow matching generates candidate trajectories. On held-out users and tasks, trajectory error was 0.082 ± 0.211, versus 0.110 ± 0.228 without flow matching. In five healthy participants, activation RMSE was 0.155 ± 0.026; this proof of concept does not establish therapeutic benefit.
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