Optimizing wearable assistive devices with neuromuscular models and optimal control
This work addresses the design of wearable assistive devices for users, but it appears incremental as it builds on existing methods without claiming specific breakthroughs.
The paper tackled the problem of improving wearable assistive devices by using neuromuscular models and optimal control to study human-device interactions and generate predictive simulations for novel movements.
The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the possibility to study and improve this interaction. In addition, optimal control can also be used to generate predictive simulations that generate novel movements for the human model under varying optimization criterion.