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

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.

00:00
00:00
~3 min • Beginner • English
Abstract
Robotic fingers capable of multidirectional tactile perception are crucial for exploring complex, non-visual environments, yet most existing tactile sensors detect forces only along a single direction. The authors demonstrate a soft magnetoelectric finger (SMF) that achieves self-generated-signal, multidirectional tactile sensing using a flexible Ecoflex sheath with five embedded liquid metal (LM) coils surrounding a magnetized phalangeal “bone.” External forces change magnetic flux through the LM coils, producing distinct induced voltages explained by Maxwell simulations. By analyzing signals from the five coils, the SMF detects forces from varied directions and distinguishes six common objects with different Young’s moduli with 97.46% accuracy. Integrated with a robotic arm, the SMF explores a black box, identifying walls/ground features and object types, highlighting its suitability for non-visual robotic exploration.
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
Tags
soft magnetoelectric finger
tactile sensing
robotics
liquid metal coils
magnetic flux
Maxwell's equations
object identification
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny