Multipole Magnetic Tactile Sensor With Super-Resolution for 3-D Pose Estimation

Magnetic tactile sensors are widely used in tactile servo and robotic manipulations because of their compact size and high sensitivity. However, their spatial resolution is constrained by the number of Hall elements in a contact area, while their limited capacity to perceive 3-D information hinders their broader applications. This article introduces a grid multipole magnetization method for magnetic tactile sensors that achieves super-resolution and 3-D pose perception without increasing the density of Hall elements. By magnetizing the soft contact surface with the proposed grid multipole magnetization method and equipping with different deep neural networks (DNNs), this newly fabricated magnetic-based tactile sensor offers improved 3-D sensing capabilities at a sampling frequency of 380 Hz of all five Hall sensors within a compact size of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$20 \times 20$ </tex-math></inline-formula> mm and a thickness of 3.5 mm. It accurately perceives single-point contacts (contact force ranging from 0 to 2.5 N, with spatial and force resolutions of 0.1 mm and 0.05 N, respectively), as well as providing measurements for 2-D rotation angles (−90° to 90°, resolution: 0.33°) and capturing 3-D pose features (roll, pitch, and yaw angle resolutions: 0.046°, 0.128°, and 0.096° over ranges from −5° to 5°). The effectiveness of this methodology is validated through experiments demonstrating a remarkable improvement in spatial super-resolution by a factor of 70, offering innovative solutions for robotic tactile sensors with numerous potential applications in dexterous manipulation.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2024-12-26
DOI
https://doi.org/10.1109/tim.2024.3522631
Citations
6
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
7.79

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article

Multipole Magnetic Tactile Sensor With Super-Resolution for 3-D Pose Estimation

Xiansheng Yang, Xiaogang Xiong, Yunjiang Lou, Yanjie Li et al.
6 citations
IEEE Transactions on Instrumentation and Measurement
Robotics and Sensor-Based Localization
7.79
article

Multipole Magnetic Tactile Sensor With Super-Resolution for 3-D Pose Estimation

Xiansheng Yang, Xiaogang Xiong, Yunjiang Lou, Yanjie Li, Jianglong Huang
article en
6 citations

Abstract

Magnetic tactile sensors are widely used in tactile servo and robotic manipulations because of their compact size and high sensitivity. However, their spatial resolution is constrained by the number of Hall elements in a contact area, while their limited capacity to perceive 3-D information hinders their broader applications. This article introduces a grid multipole magnetization method for magnetic tactile sensors that achieves super-resolution and 3-D pose perception without increasing the density of Hall elements. By magnetizing the soft contact surface with the proposed grid multipole magnetization method and equipping with different deep neural networks (DNNs), this newly fabricated magnetic-based tactile sensor offers improved 3-D sensing capabilities at a sampling frequency of 380 Hz of all five Hall sensors within a compact size of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$20 \times 20$ </tex-math></inline-formula> mm and a thickness of 3.5 mm. It accurately perceives single-point contacts (contact force ranging from 0 to 2.5 N, with spatial and force resolutions of 0.1 mm and 0.05 N, respectively), as well as providing measurements for 2-D rotation angles (−90° to 90°, resolution: 0.33°) and capturing 3-D pose features (roll, pitch, and yaw angle resolutions: 0.046°, 0.128°, and 0.096° over ranges from −5° to 5°). The effectiveness of this methodology is validated through experiments demonstrating a remarkable improvement in spatial super-resolution by a factor of 70, offering innovative solutions for robotic tactile sensors with numerous potential applications in dexterous manipulation.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Harbin Institute of Technology (CN), Guangdong Institute of Intelligent Manufacturing (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 3%
Robotics and Sensor-Based Localization
7.79
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