9.34J Biomechanics and Neural Control of Movement (New)
Quantitative knowledge of human movement behavior is important in a growing number of engineering applications (medical and rehabilitation technology, athletic and military equipment, human-computer interaction, vehicle performance, etc.). Presents a quantitative, model-based description of how biomechanical and neural factors interact in human sensory-motor behavior, focusing mainly on the upper limbs. Students survey recent literature on how motor behavior is controlled, comparing biological and robotic approaches to similar tasks. Topics may include a review of relevant neural, muscular and skeletal physiology, neural feedback and "equilibrium-point" theories, co-contraction strategies, impedance control, kinematic redundancy, optimization, intermittency, contact tasks and tool use. Students taking the graduate version will complete additional assignments.
9.34J will be offered this semester (Spring 2019). It is instructed by N. Hogan.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the Index of /afs/athena/course/9/9.34 site.
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