Neuromorphic embedded processing for touch

When humans want to feel a texture, they don’t just touch an object—they slide their fingers over it. This sliding motion generates vibrations that are translated by our nervous system into crucial temporal information for the brain. This strategy, optimized by biology, allows us to capture important details of the world around us without requiring an extremely high density of sensors. Robots and prosthetics could also benefit from this approach, enhancing their ability to explore their surroundings.

In his thesis, Michele Mastella examined how the sense of touch is recorded and processed in the brain using neuroscientific literature. He then proposes artificial alternatives to shape the future of robotics and prosthetics.

Dissertation: https://hdl.handle.net/11370/dc2a7f9f-f5cc-4353-a39c-809d1905516f