Neuromorphic Tactile Skins are electronic skins that incorporate spiking neural networks to process tactile data locally, enabling real-time haptic feedback.
They address the need for real-time haptic feedback in applications requiring fine motor control, such as prosthetics or robotics.
These skins use piezoresistive sensors and memristors to detect mechanical stimuli. The signals from these sensors are processed by on-chip spiking neural networks, which mimic the behavior of biological mechanoreceptors. This local processing allows for rapid response times and energy efficiency.
The manufacturing process involves creating flexible substrates with integrated piezoresistive sensors and memristors. The spiking neural networks are then implemented on these substrates using advanced semiconductor fabrication techniques.
First, the substrate is prepared for integration of electronic components. Then, piezoresistive sensors and memristors are deposited or printed onto the substrate. Finally, the spiking neural network architecture is programmed into the memristors to mimic biological behavior.
Field units draw low hundreds of watts; fabrication is energy-intensive due to vacuum baking. Operationally, they consume minimal power due to the efficient processing capabilities of spiking neural networks.
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