A. D. Koelewijn

This paper develops a method to reconstruct change of direction motions using optimal control simulations that directly track marker and ground reaction force data, showing improved marker accuracy compared to coordinate tracking.

This study uses predictive gait simulations to explore how exoskeletons altering walking energetics affect step frequency and muscle coordination, finding that increasing virtual participants improves predictive accuracy.

This study shows that muscular co-contraction can minimize effort in systems with uncertainty, and that controller architecture affects optimal trajectories.

The paper introduces a collocation method for predictive simulations of human movements in stochastic environments, showing that nonzero foot clearance is energetically optimal with increased clearance under higher noise.

This paper compares seven metabolic energy expenditure models for gait using experimental data to assess their accuracy in predicting metabolic cost.