Science Daily December 13, 2021
In living organisms, sensory and motor processes are distributed, locally merged, and capable of forming dynamic sensorimotor associations. An international team of researchers (the Netherlands, Germany, USA – Stanford University, UK, Saudi Arabia, Italy) has developed a simple and efficient organic neuromorphic circuit for local sensorimotor merging and processing on a robot that is placed in a maze. While the robot is exposed to external environmental stimuli, visuomotor associations are formed on the adaptable neuromorphic circuit. With this on-chip sensorimotor integration, the robot learns to follow a path to the exit of a maze, while being guided by visually indicated paths. The work opens a promising approach of an affordable, versatile, and readily accessible platform for exploring, designing, and evaluating behavioral intelligence through decentralized sensorimotor integration…read more. Open Access TECHNICAL ARTICLEÂ
Path-planning robot with an organic neuromorphic circuit for sensorimotor integration….Credit: SCIENCE ADVANCES, 10 Dec 2021, Vol 7, Issue 50Â