Science Daily October 15, 2020
Sensory information processing in robot skins currently rely on a centralized approach where signal transduction is separated from centralized computation and decision-making, requiring the transfer of large amounts of data from periphery to central processors. An international team of researchers (Singapore, Italy) took a decentralized approach where intelligence is embedded in the sensing nodes, using a unique neuromorphic methodology to extract relevant information in robotic skins. They proposed a system to address pain perception and the association of nociception with tactile perception to trigger the escape reflex in a sensitized robotic arm. The system comprises self-healable materials and memtransistors for the implementation of neuromorphic nociceptors, spiking local associative learning and communication. They demonstrated system features in-memory edge computing with minimal hardware circuitry and wiring, and enhanced fault tolerance and robustness…read more. Open Access TECHNICAL ARTICLEÂ