Reconfigurable Biomimetic E‐Skin via Self‐Adhesive OECT “Neural Blocks” with Integrated Sensing, Processing and Logic Functions

ABSTRACT The development of bio‐inspired electronic skin equipped with a functionally integrated perception‐processing‐response mechanism is critical for achieving natural interaction in humanoid robots. While organic electrochemical transistors show great promise in biosensing and neuromorphic computing due to their unique ion‐electron coupling, existing studies have largely focused on optimizing single functional units. Achieving system‐level synergy remains a challenge; traditional monolithic integration is hindered by material and electrolyte incompatibilities, which inevitably leads to performance trade‐offs among multimodal sensing, synaptic simulation, and logic operations. Furthermore, the resulting fixed hardware architectures lack the adaptability required for complex robotic tasks. Here, we present a function‐oriented modular integration strategy utilizing ultra‐thin SEBS elastomers to build a reconfigurable “artificial peripheral nervous system.” Taking advantage of the native self‐adhesiveness and exceptional flexibility of SEBS, we enable the Lego‐like assembly and interconnection of independently optimized modules, including high‐sensitivity ion (K + and Na + ) and temperature sensors, artificial synapses, and logic gates. This approach not only decouples the fabrication processes to preserve the performance of each device but also facilitates on‐demand system reconfiguration. Thereby, we demonstrate a unified platform capable of multimodal signal acquisition, brain‐like computing, and preliminary decision‐making, offering a novel hardware solution for future intelligent and customizable human‐machine interfaces.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-04-16
DOI
https://doi.org/10.1002/adfm.75474
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconfigurable Biomimetic E‐Skin via Self‐Adhesive OECT “Neural Blocks” with Integrated Sensing, Processing and Logic Functions

Tingting Wen, Kaiqin Chen, Baoli Zha, Xiaolong Xu et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Reconfigurable Biomimetic E‐Skin via Self‐Adhesive OECT “Neural Blocks” with Integrated Sensing, Processing and Logic Functions

Tingting Wen, Kaiqin Chen, Baoli Zha, Xiaolong Xu, Fengwei Huo, Yifan Yu, Ruijie Xie, Linan Chen
article en

Abstract

ABSTRACT The development of bio‐inspired electronic skin equipped with a functionally integrated perception‐processing‐response mechanism is critical for achieving natural interaction in humanoid robots. While organic electrochemical transistors show great promise in biosensing and neuromorphic computing due to their unique ion‐electron coupling, existing studies have largely focused on optimizing single functional units. Achieving system‐level synergy remains a challenge; traditional monolithic integration is hindered by material and electrolyte incompatibilities, which inevitably leads to performance trade‐offs among multimodal sensing, synaptic simulation, and logic operations. Furthermore, the resulting fixed hardware architectures lack the adaptability required for complex robotic tasks. Here, we present a function‐oriented modular integration strategy utilizing ultra‐thin SEBS elastomers to build a reconfigurable “artificial peripheral nervous system.” Taking advantage of the native self‐adhesiveness and exceptional flexibility of SEBS, we enable the Lego‐like assembly and interconnection of independently optimized modules, including high‐sensitivity ion (K + and Na + ) and temperature sensors, artificial synapses, and logic gates. This approach not only decouples the fabrication processes to preserve the performance of each device but also facilitates on‐demand system reconfiguration. Thereby, we demonstrate a unified platform capable of multimodal signal acquisition, brain‐like computing, and preliminary decision‐making, offering a novel hardware solution for future intelligent and customizable human‐machine interfaces.

Advanced Functional Materials
Fujian University of Traditional Chinese Medicine (CN), Nanjing Tech University (CN), Xiamen University (CN), First Affiliated Hospital of Xiamen University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
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