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Herausgeber: 
  • Parijat Bhowmick
  • Sima Das
  • Farshad Arvin
  • Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    autonomous agents / Bio-Inspired Algorithms / Computational complexity / coordination mechanisms / distributed decision-making / Dynamic Environments / Formation Control / Interdisciplinary Research
    ISBN:  9798369345122 
    EAN-Code: 
    9798369345122 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 16 mm 
    Gewicht:  547 gr 
    Seiten:  288 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.

      



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