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Autor(en): 
  • Pai Zheng
  • Shufei Li
  • Wang Lihui
  • Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / BUSINESS & ECONOMICS / Industries / Manufacturing / Computer Vision / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Human-Computer Interaction (HCI) / COMPUTERS / Optical Data Processing / Human-Computer Interaction / Human–computer interaction
    ISBN:  9780443139437 
    EAN-Code: 
    9780443139437 
    Verlag:  Elsevier 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D  
    Gewicht:  510 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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.

      



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