Ultrahigh‐Resolution Multimodal Tactile Sensors Enabled by Multi‐Scale Conductive Network Construction and Band Engineering for Intelligent Perception

Abstract

Abstract In recent years, driven by flexible electronics and robotics, multimodal sensors have developed rapidly. Although the coupling between signals is effectively improved, the limited resolution restricts their application in complex scenarios. Herein, inspired by the human cutaneous sensory system, a multimodal tactile sensor with a lamellar aerogel structure is fabricated by using Ti 3 C 2 T x MXene and carboxyl single‐walled carbon nanotube as conductive building blocks. The synergistic sensing mechanism based on piezoresistive and thermoelectric effects enables it to decouple pressure and temperature stimuli fully. Benefiting from the micro‐nano conductive network constructed by the bridged lamellae combined with nano building blocks and the interfacial energy filtering induced by the design and regulation of the band structure, the sensor achieves unprecedented breakthroughs in pressure detection limit and temperature resolution, reaching 0.025 Pa and 0.01 K, respectively. Furthermore, tactile perception beyond humans is achieved by combining the outstanding multimodal sensing properties with machine learning. The developed intelligent robotic finger performs a high material identification accuracy of 97.9%, and the further integrated electronic skin that can achieve multi‐feature classification under low pixels has an accuracy of up to 99.7%. This study provides novel insights into the design and application of multimodal sensors with high resolution.