Christoph P. O. Nuesslein

A Deep Learning Framework for End-to-End Control of Powered Prostheses

Deep learning offers a potentially powerful alternative to hand-tuned control of active lower-limb prostheses, being capable of generating continuous joint-level assistance end-to-end. This eliminates the need for conventional task classification, state machines and mid-level control equations by co