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

Abstract

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.