Ion Migration‐Modulated Flexible MXene Synapse for Biomimetic Multimode Afferent Nervous System: Material and Motion Cognition

Abstract

The biomimetic afferent nervous system (ANS) is significant for transporting external stimuli into intelligent robots; however, it is still far from bionics due to traditional multisensor and single‐cognition strategies. Herein, a flexible biomimetic ANS with multimode fuzzy perception and brain‐like cognition is developed, by fusing the ion migration‐modulated MXene synapse and machine learning (ML). First of all, the elementary perceptual ability to mimic biological neuroreceptors is demonstrated. Motion artifact in the ionic conductive elastomer (ICE) current is eliminated. Furthermore, the multimode perception and brain‐like cognition are accomplished by synaptic currents (SCs) and nine ML algorithms. Finally, the cognitions of materials, gestures, and motions are conducted by distributing the ANS devices across body joints, and with the optimal ML method, the accuracies can reach 80%, 100%, and 90%, respectively. This synapse‐based ANS may provide a new idea for developing next‐generation neuromorphic intelligent robots.

Keywords

• afferent nervous systems
• biomimetic cognition
• ionic conductive elastomers
• multimode perception
• MXene synapses