A Novel Orthogonal Halbach Bilayer for Super-Resolution Tactile Perception

High spatial resolution in tactile perception is crucial for precise robotic manipulation, yet existing methods primarily rely on data-driven approaches that require large datasets and significant computational resources. These limitations hinder their real-time application in resource-constrained environments. This article presents a novel analytical approach to tactile super-resolution using magnetic tactile sensors, bypassing the need for training data. By employing an orthogonal Halbach bilayer magnetization method, a three-axis sinusoidal magnetic field is generated, significantly improving the signal-to-noise ratio and tactile perception accuracy. A fully analytical model is developed to establish a precise correlation between contact positions and variations in the magnetic field, leading to a five-fold improvement in spatial resolution. Unlike traditional methods, our approach offers high accuracy without the computational burden, making it ideal for complex environments, where high-quality training data are difficult to obtain. Extensive simulations and real-world experiments validate the effectiveness of the proposed method, demonstrating its potential for applications in different fields, such as robotics and healthcare.

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Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2025-06-24
DOI
https://doi.org/10.1109/tmech.2025.3573731
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
1.24

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article

A Novel Orthogonal Halbach Bilayer for Super-Resolution Tactile Perception

Shuangyi Wang, Mei-Jiang Gui, Xiao‐Liang Xie, De-Xing Huang et al.
1 citations
IEEE/ASME Transactions on Mechatronics
Industrial Vision Systems and Defect Detection
1.24
article

A Novel Orthogonal Halbach Bilayer for Super-Resolution Tactile Perception

Shuangyi Wang, Mei-Jiang Gui, Xiao‐Liang Xie, De-Xing Huang, Hu Liao, Tianyu Xiang, Shi-Qi Liu, Bo-Xian Yao, Zeng‐Guang Hou, Xiao-Hu Zhou
article en
1 citations

Abstract

High spatial resolution in tactile perception is crucial for precise robotic manipulation, yet existing methods primarily rely on data-driven approaches that require large datasets and significant computational resources. These limitations hinder their real-time application in resource-constrained environments. This article presents a novel analytical approach to tactile super-resolution using magnetic tactile sensors, bypassing the need for training data. By employing an orthogonal Halbach bilayer magnetization method, a three-axis sinusoidal magnetic field is generated, significantly improving the signal-to-noise ratio and tactile perception accuracy. A fully analytical model is developed to establish a precise correlation between contact positions and variations in the magnetic field, leading to a five-fold improvement in spatial resolution. Unlike traditional methods, our approach offers high accuracy without the computational burden, making it ideal for complex environments, where high-quality training data are difficult to obtain. Extensive simulations and real-world experiments validate the effectiveness of the proposed method, demonstrating its potential for applications in different fields, such as robotics and healthcare.

IEEE/ASME Transactions on MechatronicsVol. 30(6)
Chinese Academy of Sciences (CN), Institute of Automation (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 18%
Industrial Vision Systems and Defect Detection
1.24
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