Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies

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 ada...

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Weitere Verfasser: Bhowmick, Parijat 1986- (HerausgeberIn), Das, Sima 1992- (HerausgeberIn), Arvin, Farshad (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey PA, USA IGI Global [2024]
Schriftenreihe:Advances in computational intelligence and robotics (ACIR) book series
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Online-Zugang:DE-91
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Datensatz im Suchindex

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spelling Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies Parijat Bhowmick, Sima Das, Farshad Arvin
Hershey PA, USA IGI Global [2024]
© 2024
1 Online-Ressource (xx, 261 Seiten) Illustrationen
txt rdacontent
c rdamedia
cr rdacarrier
Advances in computational intelligence and robotics (ACIR) book series
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.
Artificial intelligence
Automation
Robotics Research
Robots Control Research
Swarm intelligence Research
Bhowmick, Parijat 1986- edt
Das, Sima 1992- edt
Arvin, Farshad edt
Erscheint auch als Druck-Ausgabe, Hardcover 979-8-3693-1277-3
Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-4512-2
https://doi.org/10.4018/979-8-3693-1277-3 Verlag URL des Erstveröffentlichers Volltext
spellingShingle Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies
Artificial intelligence
Automation
Robotics Research
Robots Control Research
Swarm intelligence Research
title Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies
title_auth Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies
title_exact_search Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies
title_full Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies Parijat Bhowmick, Sima Das, Farshad Arvin
title_fullStr Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies Parijat Bhowmick, Sima Das, Farshad Arvin
title_full_unstemmed Bio-inspired swarm robotics and control algorithms, mechanisms, and strategies Parijat Bhowmick, Sima Das, Farshad Arvin
title_short Bio-inspired swarm robotics and control
title_sort bio inspired swarm robotics and control algorithms mechanisms and strategies
title_sub algorithms, mechanisms, and strategies
topic Artificial intelligence
Automation
Robotics Research
Robots Control Research
Swarm intelligence Research
topic_facet Artificial intelligence
Automation
Robotics Research
Robots Control Research
Swarm intelligence Research
url https://doi.org/10.4018/979-8-3693-1277-3
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