nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint examines the evolving role of human-machine interfaces (HMI) within the context of Industry 4.0 and digital manufacturing, where human and machine intelligence are increasingly integrated to enhance design, production, and decision-making. It highlights research on advanced interaction technologies that move beyond traditional tools toward dynamic, collaborative relationships between humans and autonomous systems. Topics include novel design patterns in perception, control, and arbitration; the application of human expertise in machine decision-making; and the use of sensory data for informed, adaptive manufacturing processes. By bringing together contributions from both academic and industrial perspectives, the Reprint provides a comprehensive view of the opportunities, challenges, and future directions for human-machine collaboration in digital manufacturing.

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Bibliographic Details

Title: Mixture of Human and Machine Intelligence in Digital Manufacturing
Publisher: MDPI AG
Publication Date: 2025
Language: English
ISBN 10: 3725850631
ISBN 13: 9783725850631
Binding: Buch
Condition: Neu
Dimensions: 250 millimeters width by 175 millimeters height by 19 millimeters depth
Weight: 770 grams

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This Reprint examines the evolving role of human-machine interfaces (HMI) within the context of Industry 4.0 and digital manufacturing, where human and machine intelligence are increasingly integrated to enhance design, production, and decision-making. It highlights research on advanced interaction technologies that move beyond traditional tools toward dynamic, collaborative relationships between humans and autonomous systems. Topics include novel design patterns in perception, control, and arbitration; the application of human expertise in machine decision-making; and the use of sensory data for informed, adaptive manufacturing processes. By bringing together contributions from both academic and industrial perspectives, the Reprint provides a comprehensive view of the opportunities, challenges, and future directions for human-machine collaboration in digital manufacturing.

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