Scientists have developed an AI-driven approach that significantly advances our understanding of the hand's complex motor functions. The team used a creative machine learning strategy that combined ...

Part 1 of a three-part series unpacks how a researcher strives to improve performance by merging neuroscience and human motor control with robotics and artificial intelligence. The first objective is ...

Abstract: Despite having a slow and noisy neuromotor system, humans manage to dexterously interact with complex (nonlinear, underactuated, non-rigid) objects on a daily basis. This feat of human ...

- Modern prostheses offer access to multiple grip patterns, which can be controlled by detecting muscle activity from the residual forearm. - The novel method, based on human motor control principles ...

The EPFL/UNIGE AI model achieved a 100% success rate in the first phase of the competition, surpassing the closest competitor. Even in the more challenging second phase, their model showed its ...