Reinventing Mechatronics: Developing Future Directions for Mechatronics

Author:   Xiu-Tian Yan ,  David Bradley ,  David Russell ,  Philip Moore
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030291334


Pages:   186
Publication Date:   26 August 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Reinventing Mechatronics: Developing Future Directions for Mechatronics


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Overview

This book presents the latest research on mechatronic systems engineering. By bringing together the most important papers from the 2018 Mechatronics Forum Conference ‘Reinventing Mechatronics,’ it outlines key trends in research and applications that will define mechatronics for the next 50 years. Mechatronics was established as an engineering discipline over 50 years ago, as the integration of electronics and information technology with mechanical design. Given major technological advances and the growth of systems-level concepts such as Cyber-Physical Systems and the Internet of Things, along with Cloud Technologies and Big Data, it’s now high time to reconsider the role of mechatronics, particularly within engineering design. Past and ongoing technological changes are impacting how systems are designed and configured in ways that could never have been envisaged when the field of mechatronics was first introduced.  

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Author:   Xiu-Tian Yan ,  David Bradley ,  David Russell ,  Philip Moore
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.320kg
ISBN:  

9783030291334


ISBN 10:   3030291332
Pages:   186
Publication Date:   26 August 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reinventing Mechatronics.- Reinventing Mechatronics – A Personal Perspective.- From Mechatronics to The Cloud.- Path Planning for Semi-Autonomous Agricultural Vehicles

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