Bioinspired Electronic Skin with Low-Threshold OECTs for Direct Processing of Multimodal Sensing Signals
Tianyi Ji, Yongsheng Liu, Chenhong Zhang, Wei Gong, Yuqing Tian, Jie Gu, Wenjie Zhao, Kerui Li, Qinghong Zhang, Yaogang Li, Chengyi Hou, Hongzhi Wang
- Year
- 2025
- Citations
- 2
Abstract
As a vital component of humanoid robots and a key module in smart wearable devices, electronic skin plays a significant role in enabling biomimetic perception and interactive feedback. However, achieving the synergistic integration of multimodal perception-response and low-power signal processing remains a significant challenge. In this work, we present a bioinspired electronic skin system with logic-level decoupling of multimodal inputs as its core innovation, which integrates a triboelectric/pyroelectric dual-mode self-powered sensor, an organic electrochemical transistor (OECT) array, and a feedback unit to construct a closed-loop perception-response pathway. By designing OECTs with low threshold voltage and fast response, and optimizing the impedance matching between the electrolyte and the sensor, the system is capable of recognizing and responding to transient and weak signals. More importantly, employing OECTs with different threshold voltages enables clear separation and reliable processing of multimodal signals at the logic level, ensuring accurate information interpretation. The system is ultimately integrated into both a robotic hand and a flexible wearable platform, demonstrating its application potential in human-machine interaction and intelligent feedback.
Keywords
Related papers
Artificial intelligence: a modern approach
1995
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, P Lenz, R. Urtasun
2012
Self-Organizing Maps
Teuvo Kohonen
1995
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martı́n Abadi, Ashish Agarwal, Paul Barham +17 more
2016