Emergence of In-Materio Intelligence from an Incidental Structure of a Single-Walled Carbon Nanotube-Porphyrin Polyoxometalate Random Network

著者: Deep Banerjee, Takumi Kotooka, Saman Azhari, Yuki Usami, Takuji Ogawa, James K. Gimzewski, Hakaru Tamukoh, Hirofumi Tanaka - Advanced Intelligent Systems 2022 被引用: 57

In-Materio Reservoir Computing In article number 2100145, Hirofumi Tanaka and co-workers have developed an in-materio reservoir computing (RC) system with a random network of single-walled carbon nanotube/porphyrin-polyoxometalate and demonstrated robot-based object classification. Time-series tactile inputs picked up by a haptic sensor at the robot-arm are converted to multiple high feature outputs using the system and finally trained to separate each object. The in-materio RC system is intended to be implemented as an artificial intelligence for robotic applications near future.