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Using Machine Learning to Perform Force Calibration of Soft Triaxial Magnetic Sensors and Identify the Temperature of grasped objects

Authors:
Yao-Wei Tian
Jung-Tang Huang

Keywords: hall-sensor; Soft sensor; force and tactile sensor

Abstract:
The purpose of this research is to develop a low-cost and high-accuracy force sensor. The three-axis magnetic field change value and the surface temperature of the touch object can be obtained by using a magnet, a silicone block, and a Hall sensor. Through the self-developed automatic calibration machine and machine learning, the magnetic field value can be directly output as a three-axis force. Today's three-axis force sensors are bulky and expensive, even if the single-axis force sensors have been developed. However, it cannot provide precise tactile information like human beings, and we believe that multi-axial force perception is bound to provide more control information for robots. Therefore, this study designs a high-precision and low-cost triaxial force sensor by machine learning and an automatic calibration machine.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2519-836X

ISBN: ISBN: 978-1-61208-987-4

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022