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.
Authors
- Shuangyi Wang (ORCID: https://orcid.org/0000-0003-4316-3259)
- Mei-Jiang Gui (ORCID: https://orcid.org/0000-0001-9803-891X)
- Xiao‐Liang Xie (ORCID: https://orcid.org/0000-0002-6227-4811)
- De-Xing Huang
- Hu Liao (ORCID: https://orcid.org/0000-0001-8358-2154)
- Tianyu Xiang
- Shi-Qi Liu (ORCID: https://orcid.org/0000-0003-1790-8448)
- Bo-Xian Yao
- Zeng‐Guang Hou
- Xiao-Hu Zhou (ORCID: https://orcid.org/0000-0002-7602-4848)
Institutions
- Chinese Academy of Sciences (CN)
- Institute of Automation (CN)
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
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation