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.

Highlights

  • The integration of tactile sensors into robotic systems is essential if such robots are to interact safely with the external environment and to dexterously manipulate objects [1,2,3]

  • We present a general design methodology for magnetic field-based three-axis soft tactile sensors, enabling researchers to more and rigorously develop and integrate their own tactile sensors into a variety of applications

  • From the analyses presented a series of design guidelines for a magnetic field-based tactile sensor can be summarised: (1)

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Summary

Introduction

The integration of tactile sensors into robotic systems is essential if such robots are to interact safely with the external environment and to dexterously manipulate objects [1,2,3]. Current tactile sensors have limitations restricting their application, notably being too fragile for repeated contact/impact and wear or exhibiting poor performance. They are typically expensive and difficult to integrate into the application systems. There is a demand for low-cost, durable, accurate, deformable, customizable, tri-axial tactile sensing technology and the associated techniques required to design, optimize and fabricate these systems. Over the past few decades, research into deformable/soft tactile sensing systems has rapidly accelerated, spanning a broad range of target applications [5].

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