Toward human-like adaptability in robotics through a retention-engineered synaptic control system.

ABSTRACT: Although advanced robots can adeptly mimic human movement and aesthetics, they are still unable to adapt or evolve in response to external experiences. To address this limitation, we propose an innovative approach that uses parallel-processable retention-engineered synaptic devices in the control system. This approach aims to simulate a human-like learning system without necessitating complex computational systems. The retention properties of the synaptic devices were modulated by adjusting the amount of Ag/AgCl ink sprayed. This changed the voltage drop across the interface between the gate electrode and the electrolyte. Furthermore, the unrestricted movement of ions in the electrolyte enhanced the signal multiplexing capability of the ion gel, enabling device-level parallel processing. B

SUBMITTER: Kim C 

PROVIDER: S-EPMC11204284 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature