Artificial Tactile Neuron Systems: From Biomimetic Sensing to Intelligent Interaction

Artificial tactile neuron systems (ATNS) have emerged as a pivotal platform for next‐generation biomimetic perception, intelligent human‐machine interaction, and wearable healthcare. By co‐integrating tactile sensing and neuromorphic computing, ATNS intrinsically enable low‐latency processing, reduced power consumption, and high biomimetic fidelity. In this review, we summarize recent advances in ATNS from device to system level, covering core functional components, representative sensing‐synapse‐neuron architectures, and diverse material systems, including inorganic, organic, and hybrid materials. We further highlight progress in fabrication strategies compatible with flexible, stretchable, and large‑area implementations, as well as emerging applications in artificial skin, intelligent robotics, interactive interfaces, and wearable medical devices. Remaining challenges such as robust multimodal integration, high‐density spatiotemporal information processing, long‐term stability, and scalable manufacturing are critically discussed. Finally, we outline future directions toward highly integrated, energy‐efficient, and application‐oriented ATNS to guide the rational design of high‐performance tactile neuromorphic platforms.