Engineering and Technology

A soft magnetoelectric finger for robots' multidirectional tactile perception in non-visual recognition environments

Y. Xu, S. Zhang, et al.

Discover the innovative soft magnetoelectric finger (SMF) designed for multidirectional tactile sensing in robots, enabling effective navigation in non-visual environments. This remarkable device, developed by Yizhuo Xu, Shanfei Zhang, Shuya Li, Zhenhua Wu, Yike Li, Zhuofan Li, Xiaojun Chen, Congcan Shi, Peng Chen, Pengyu Zhang, Michael D. Dickey, and Bin Su, achieves an impressive 97.46% accuracy in identifying objects with varying mechanical properties.

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Abstract

This paper introduces a soft magnetoelectric finger (SMF) designed for multidirectional tactile sensing in robots, particularly useful in non-visual environments. The SMF, comprising a flexible sheath with liquid metal coils and a magnet, generates signals based on changes in magnetic flux due to external forces. Maxwell's equations and numerical simulations are used to explain the generated voltages. The SMF effectively distinguishes forces from various directions and identifies six different objects with varying Young's moduli, achieving 97.46% accuracy. Black box exploration experiments demonstrate its suitability for complex environment navigation.

Publisher

npj Flexible Electronics

Published On

Jan 04, 2024

Authors

Yizhuo Xu, Shanfei Zhang, Shuya Li, Zhenhua Wu, Yike Li, Zhuofan Li, Xiaojun Chen, Congcan Shi, Peng Chen, Pengyu Zhang, Michael D. Dickey, Bin Su

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