Neurorobotic approaches to emulate human motor control with the integration of artificial synapse
Seonkwon Kim, Seongchan Kim, Dong Hae Ho, Dong Gue Roe, Young Jin Choi, Min Je Kim, Ui Jin Kim, Manh Linh Le, Ju‐Young Kim, Se Hyun Kim, Jeong Ho Cho
Abstract
The advancement of electronic devices has enabled researchers to successfully emulate human synapses, thereby promoting the development of the research field of artificial synapse integrated soft robots. This paper proposes an artificial reciprocal inhibition system that can successfully emulate the human motor control mechanism through the integration of artificial synapses. The proposed system is composed of artificial synapses, load transistors, voltage/current amplifiers, and a soft actuator to demonstrate the muscle movement. The speed, range, and direction of the soft actuator movement can be precisely controlled via the preset input voltages with different amplitudes, numbers, and signs (positive or negative). The artificial reciprocal inhibition system can impart lifelike motion to soft robots and is a promising tool to enable the successful integration of soft robots or prostheses in a living body.