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 ...
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 ...
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 ...
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 ...
Graceful Shutdown: Ensuring the motor and controller are shut down safely when the application is stopped. If the application operates on a multicore MCU/DSP/FPGA, an appropriate inter-core ...
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 ...