Multi-Component Torque Sensing Systems  book cover
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1st Edition

Multi-Component Torque Sensing Systems



  • Available for pre-order. Item will ship after March 3, 2021
ISBN 9780367502409
March 3, 2021 Forthcoming by CRC Press
88 Pages 10 B/W Illustrations

 
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Book Description

This book will focus on the design, development, decoupling, and applications of multi-component torque sensing systems. Force and moment information can be used as feedback to form an automatic control system to accomplish efficient manipulation. The origins of force measurement and control can be traced back to the late 1970s. Since then, multi-component F/M (force/moment) sensing systems have been widely known and intensively studied. In the past few years, force measurement practices have been significantly affected by new tools (such as digital force gauges, virtual instrumentation, high speed data acquisition system, etc.) as well as sophisticated measurement methods such as mechano-magnetic, mechano-optical, etc. However, this is the first book to provide an overview to the topic. It will be a useful reference for students in physics and engineering working with robotics sensing systems and robotics systems, in addition to researchers and those working within industry. This work was supported in part by the National Nature Science Foundation of China (NSFC 62073129 and 61673163).

Features:

• Explores the development of force/torque sensing systems

• Provides real applications of the multi-component force/torque sensing systems

• Contains executable codes for decoupling algorithms

Table of Contents

Chapter 1. Introduction

Chapter 2. Multi-Component Force Sensing Systems Based on Different Techniques

Chapter 3. FBG Based Optical Force Sensing Systems

Chapter 4. Decoupling Algorithms

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Author(s)

Biography

Qiaokang Liang is an Associate Professor with the College of Electrical and Information Engineering, Hunan University. He is currently the vice director of Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing, and serving as the assistant director of National Engineering Laboratory for Robot Vision Perception and Control. He received the Ph.D. degree in control science and engineering from the University of Science and Technology of China, Hefei, China, in 2011. His research interests include robotics and mechatronics, biomimetic sensing, advanced robot technology, and human–computer interaction.