Design methodology for magnetic field-based soft tri-axis tactile sensors
File(s)sensors-16-01356-v3.pdf (8.45 MB)
Published version
OA Location
Author(s)
Type
Journal Article
Abstract
Tactile sensors are essential if robots are to safely interact with the external world and to dexterously manipulate objects. Current tactile sensors have limitations restricting their use, notably being too fragile or having limited performance. Magnetic field-based soft tactile sensors offer a potential improvement, being durable, low cost, accurate and high bandwidth, but they are relatively undeveloped because of the complexities involved in design and calibration. This paper presents a general design methodology for magnetic field-based three-axis soft tactile sensors, enabling researchers to easily develop specific tactile sensors for a variety of applications. All aspects (design, fabrication, calibration and evaluation) of the development of tri-axis soft tactile sensors are presented and discussed. A moving least square approach is used to decouple and convert the magnetic field signal to force output to eliminate non-linearity and cross-talk effects. A case study of a tactile sensor prototype, MagOne, was developed. This achieved a resolution of 1.42 mN in normal force measurement (0.71 mN in shear force), good output repeatability and has a maximum hysteresis error of 3.4%. These results outperform comparable sensors reported previously, highlighting the efficacy of our methodology for sensor design.
Date Issued
2016-09-01
Date Acceptance
2016-08-17
Citation
Sensors, 2016, 16 (9), pp.1-20
ISSN
1424-8220
Publisher
MDPI AG
Start Page
1
End Page
20
Journal / Book Title
Sensors
Volume
16
Issue
9
Copyright Statement
© 2016 the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
The Leverhulme Trust
Identifier
https://www.mdpi.com/1424-8220/16/9/1356
Grant Number
RPG-2014-381 RG.MECH.104204
Subjects
Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Engineering, Electrical & Electronic
Instruments & Instrumentation
Chemistry
Engineering
tactile sensors
soft sensing
force sensors
Hall effect sensor
magnetic field
hyperelastic elastomer
silicone rubber
moving least square
calibration
design methodology
SKIN
Hall effect sensor
calibration
design methodology
force sensors
hyperelastic elastomer
magnetic field
moving least square
silicone rubber
soft sensing
tactile sensors
Analytical Chemistry
0301 Analytical Chemistry
0805 Distributed Computing
0906 Electrical and Electronic Engineering
0502 Environmental Science and Management
0602 Ecology
Publication Status
Published
Article Number
1356
Date Publish Online
2016-08-24