A Probabilistic Analysis of Muscle Force Uncertainty for Control.
BACKGROUND: We control the movements of our body and limbs through our muscles. However, the forces produced by our muscles depend unpredictably on the commands sent to them. This uncertainty has two sources: irreducible noise in the motor system's processes (i.e., motor noise) and variability in the relationship between muscle commands and muscle outputs (i.e., model uncertainty). Any controller, neural or artificial, benefits from estimating these uncertainties when choosing commands. METHODS…read more
Estimation of musculoskeletal models from in situ measurements of muscle action in the rat hindlimb.read more
The case for and against muscle synergies.read more
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Several of our researchers attended and presented this week at WearRAcon Virtual, a two-day webinar hosted by the Wearable Robotics Association.