Asosiy kontentga oʻtish
Maqola

Bioinspired Electronic Skin with Low-Threshold OECTs for Direct Processing of Multimodal Sensing Signals

Tianyi JiState Key Laboratory of Advanced Fiber Materials, College of Materials Science and EngineeringYongsheng LiuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and EngineeringChenhong ZhangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and EngineeringWei GongAnhui Agricultural UniversityYuqing TianState Key Laboratory of Advanced Fiber Materials, College of Materials Science and EngineeringJie GuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and EngineeringWenjie ZhaoDonghua UniversityKerui LiDonghua UniversityQinghong ZhangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and EngineeringYaogang LiDonghua UniversityChengyi HouDonghua UniversityHongzhi WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering

Ochiq kirish: yoʻq

ABI

Annotatsiya

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.

Hali tarjima qilinmagan

Mavzular

Identifikatorlar

Iqtiboslar va manbalar