journal article·2025-01-14

Mechano-Graded Contact-Electrification Interfaces Based Artificial Mechanoreceptors for Robotic Adaptive Reception

Hao Lei, Yixin Cao, Guoxuan Sun, Peihao Huang, Xiyin Xue, Bohan Lu, Jiawei Yan, Yuxi Wang, Eng Gee Lim, Xin Tu, Yina Liu, Xuhui Sun, Chun Zhao, Zhen Wen

ACS Nano· Volume 19· Issue 1
Publisher page

Abstract

Triboelectrification-based artificial mechanoreceptors (TBAMs) is able to convert mechanical stimuli directly into electrical signals, realizing self-adaptive protection and human-machine interactions of robots. However, traditional contact-electrification interfaces are prone to reaching their deformation limits under large pressures, resulting in a relatively narrow linear range. In this work, we fabricated mechano-graded microstructures to modulate the strain behavior of contact-electrification interfaces, simultaneously endowing the TBAMs with a high sensitivity and a wide linear detection range. The presence of step regions within the mechanically graded microstructures helps contact-electrification interfaces resist fast compressive deformation and provides a large effective area. The highly sensitive linear region of TBAM with 1.18 V/kPa can be effectively extended to four times of that for the devices with traditional interfaces. In addition, the device is able to maintain a high sensitivity of 0.44 V/kPa even under a large pressure from 40 to 600 kPa. TBAM has been successfully used as an electronic skin to realize self-adaptive protection and grip strength perception for a commercial robot arm. Finally, a high angle resolution of 2° and an excellent linearity of 99.78% for joint bending detection were also achieved. With the aid of a convolutional neural network algorithm, a data glove based on TBAMs realizes a high accuracy rate of 95.5% for gesture recognition in a dark environment.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Functional Nano and Soft Materials (FUNSOM), Joint International Research Laboratory of Carbon-Based Functional Materials and Devices, Soochow University, Suzhou 215123, P. R. China

Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool L693GJ, U.K.

Department of Electrical and Electronic Engineering, School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou 215123, P. R. China

Department of Military Biomedical Engineering, Air Force Medical University, Xi’an 710032, P. R. China

Department of Applied Mathematics, School of Mathematics and Physics, Xi’an Jiaotong-Liverpool University, Suzhou 215123, P. R. China

Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Soochow University, Suzhou 215123, Jiangsu, P. R. China

Funding

Suzhou Municipal Science and Technology Bureau · Collaborative Innovation Center of Suzhou Nano Science and Technology · National Key Research and Development Program of China · Natural Science Foundation of Jiangsu Province · Xi?an Jiaotong-Liverpool University · National Natural Science Foundation of China · Higher Education Discipline Innovation Project · Joint International Research Laboratory of Carbon-Based Functional Materials and Devices, Soochow University · Natural Science Foundation of the Higher Education Institutions of Jiangsu Province · University Research Development Fund

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