Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing

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  • Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing Book Detail

  • Author : Shufei Li
  • Release Date : 2024-06-03
  • Publisher : Elsevier
  • Genre : Technology & Engineering
  • Pages : 316
  • ISBN 13 : 044313944X
  • File Size : 77,77 MB

Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing by Shufei Li PDF Summary

Book Description: Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other’s actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of relationships between humans and robots in manufacturing tasks set the scene for a discussion on the technical fundamentals of state-of-the-art proactive human–robot collaboration; these are further elaborated into the three main steps (i.e., mutual-cognitive and empathic coworking; predictable spatio-temporal collaboration; self-organizing multiagent teamwork) to achieve an advanced form of symbiotic HRC with high-level, dynamic-reasoning teamwork skills. The authors then present a deployment roadmap and several case studies, providing step-by-step guidance for real-world application of these ground-breaking methods which crucially contribute to the maturing of human-centric, sustainable, and resilient production systems. The volume proves to be an invaluable resource that supports understanding and learning for users ranging from upper undergraduate/graduate students and academic researchers to engineering professionals in a variety of industry contexts. Offers pioneering information on an industry 5.0 topic that has attracted much research interest in recent years Takes advantage of a structured and comprehensive approach to seamlessly combine theory, latest technological developments, and their practical applications Includes actionable methods, while conceptualizing future implications for smart manufacturing

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