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Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing

Jazyk AngličtinaAngličtina
E-kniha Adobe ePub DRM
E-kniha Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing Shufei Li
Libristo kód: 47257258
Nakladateľstvo Elsevier, máj 2024
Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreci... Celý popis
? points 552 b
228.62
Skladom Ihneď na stiahnutie

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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