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 ...

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 ...

Interactions between pairs of humans lead to the emergence of a dyadic vigor with similar characteristics as individual vigor, where both partners adapt, with the slower having a critical role.

Unlike industries with established architectures and interfaces, the design of a typical humanoid robot actuator ...

Past studies showed that the motor cortex plays a crucial role in the human ability to translate intentions into actions. Yet the processes via which it enables the execution of precise and sequential ...

- 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 ...

Robotic controls started with simplistic direct-current motors. Engineers had limited mobility because they had few feedback mechanisms. Now, neuromorphic chips are entering the field, mimicking the ...

How humans move is an open question, according to Mark Latash, distinguished professor of kinesiology at Penn State. Subscribe to our newsletter for the latest sci-tech news updates. Investigations ...

One of the most formidable tasks for people who experience a spinal cord injury (SCI) is regaining control over their body movements. Such control allows them to hold a mug or use a computer, for ...