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Springer Handbook of Automation

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Cover of 'Springer Handbook of Automation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Automation: What It Means to Us Around the World, Definitions, Its Impact, and Outlook
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    Chapter 2 Historical Perspective of Automation
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    Chapter 3 Social, Organizational, and Individual Impacts of Automation
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    Chapter 4 Economic Effects of Automation
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    Chapter 5 Trends in Automation
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    Chapter 6 Linear Control Theory for Automation
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    Chapter 7 Nonlinear Control Theory for Automation
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    Chapter 8 Control of Uncertain Systems
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    Chapter 9 Artificial Intelligence and Automation
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    Chapter 10 Cybernetics, Machine Learning, and Stochastic Learning Automata
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    Chapter 11 Network Science and Automation
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    Chapter 12 What Can Be Automated? What Cannot Be Automated?
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    Chapter 13 Designs and Specification of Mechatronic Systems
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    Chapter 14 Sensors, Machine Vision, and Sensor Networks
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    Chapter 15 Intelligent and Collaborative Robots
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    Chapter 16 Control Architecture for Automation
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    Chapter 17 Cyber-Physical Automation
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    Chapter 18 Collaborative Control and E-work Automation
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    Chapter 19 Design for Human-Automation and Human-Autonomous Systems
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    Chapter 20 Teleoperation and Level of Automation
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    Chapter 21 Nature-Inspired and Evolutionary Techniques for Automation
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    Chapter 22 Automating Prognostics and Prevention of Errors, Conflicts, and Disruptions
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    Chapter 23 Communication Protocols for Automation
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    Chapter 24 Product Automation and Innovation
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    Chapter 25 Process Automation
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    Chapter 26 Service Automation
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    Chapter 27 Infrastructure and Complex Systems Automation
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    Chapter 28 Computer-Aided Design, Computer-Aided Engineering, and Visualization
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    Chapter 29 Safety Warnings for Automation
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    Chapter 30 Economic Rationalization of Automation Projects and Quality of Service
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    Chapter 31 Reliability, Maintainability, Safety, and Sustainability
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    Chapter 32 Education and Qualification for Control and Automation
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    Chapter 33 Interoperability and Standards for Automation
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    Chapter 34 Automation and Ethics
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    Chapter 35 Machine Tool Automation
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    Chapter 36 Digital Manufacturing Systems
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    Chapter 37 Flexible and Precision Assembly
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    Chapter 38 Semiconductor Manufacturing Automation
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    Chapter 39 Nanomanufacturing Automation
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    Chapter 40 Production, Supply, Logistics, and Distribution
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    Chapter 41 Automation and Robotics in Mining and Mineral Processing
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    Chapter 42 Automation in the Wood, Paper, and Fiber Industry
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    Chapter 43 Welding Automation
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    Chapter 44 Automation in Food Manufacturing and Processing
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    Chapter 45 Smart Manufacturing
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    Chapter 46 Automation in Data Science, Software, and Information Services
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    Chapter 47 Power Grid and Electrical Power System Security
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    Chapter 48 Construction Automation and Smart Buildings
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    Chapter 49 Agriculture Automation
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    Chapter 50 Connected Vehicles and Driving Automation Systems
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    Chapter 51 Aerospace Systems Automation
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    Chapter 52 Space Exploration and Astronomy Automation
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    Chapter 53 Cleaning Automation
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    Chapter 54 Library Automation and Knowledge Sharing
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    Chapter 55 Automatic Control in Systems Biology
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    Chapter 56 Automation in Hospitals and Health Care
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    Chapter 57 Medical Automation and Robotics
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    Chapter 58 Precision Medicine and Telemedicine
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    Chapter 59 Wearables, E-textiles, and Soft Robotics for Personalized Medicine
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    Chapter 60 Healthcare and Pharmaceutical Supply Chain Automation
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    Chapter 61 Automation in Home Appliances
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    Chapter 62 Service Robots and Automation for the Disabled and Nursing Home Care
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    Chapter 63 Automation in Education, Training, and Learning Systems
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    Chapter 64 Blockchain and Financial E-services
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    Chapter 65 Enterprise and Business Process Automation
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    Chapter 66 Decision Support and Analytics
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    Chapter 67 E-commerce
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    Chapter 68 Case Study: Automation Education and Qualification Apprenticeships
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    Chapter 69 Case Study: IBM – Automating Visual Inspection
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    Chapter 70 Case Study: Infosys – Talent Management Processes Automation with AI
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    Chapter 71 Case Study: Intel and Claro 360 – Making Spaces Safe During Pandemic
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    Chapter 72 Case Study: Siemens – Flexible Robot Grasping with Deep Neural Networks
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    Chapter 73 Case Study: 3M – Automation in Paint Repair
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    Chapter 74 Automation Statistics
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Title
Springer Handbook of Automation
Published by
Springer International Publishing, September 2022
DOI 10.1007/978-3-030-96729-1
ISBNs
978-3-03-096728-4, 978-3-03-096729-1
Editors

Nof, Shimon Y.

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