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Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception
Quanxing Yao1,2,3, Xiaojian Zhu1,2,3, Runsheng Gao1,2,3
1Zhejiang Key Laboratory of Magnetic Materials and Applications, CAS, Ningbo Institute of Materials Technology & Engineering, Ningbo, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|July 24, 2026
Summary
Researchers developed a bioinspired neuromorphic device using ionochromic transistors for intelligent robot perception. This device mimics synaptic response and chameleon color change, enabling tactile signal visualization and object recognition for advanced human-machine interaction.
Area of Science:
- Materials Science
- Robotics
- Neuroscience
Background:
- Intelligent perception is crucial for humanoid robots and embodied AI.
- Ionochromic transistors offer potential for on-site signal processing and visual feedback.
Purpose of the Study:
- To develop a bioinspired ionochromic neuromorphic device with integrated signal processing.
- To mimic biological synaptic response and chameleon color regulation for intelligent perception and display.
Main Methods:
- Fabrication of a transistor unit using poly(3-hexylthiophene) (P3HT) and an ion gel ([EMIM][TFSI]).
- Utilizing voltage-controlled ion doping to achieve synchronous conductance modulation and reversible color change.
- Developing a uniform electrolyte-gated transistors array for tactile signal visualization.
Main Results:
- The device demonstrated dual-functional behavior (conductance modulation and color change) due to polarons/bipolarons.
- Achieved a high-contrast electrochromic transition with significant absorbance change at 520 nm.
- Successfully visualized tactile signals and enabled accurate object recognition via robotic hand integration.
Conclusions:
- The ionochromic neuromorphic device provides an alternative solution for integrated intelligent perception.
- This advancement contributes to the development of next-generation human-machine interaction platforms.
- The bioinspired design offers a novel approach for robotic sensory systems.
