Rahul R Kaliki

Abstract Traditional models of upper-limb motion represent observed motor behaviors as the solution to an optimization problem defined over a cost function. However, these traditional formulations are computationally expensive and it is unclear if they extend to individuals with non-standard anatomy (such as those with upper-limb loss). Goal: We propose an optimal path planning framework that leverages musculoskeletal modeling to generate motor strategies during unconstrained, upper-limb movement.