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...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (xx, 261 Seiten) Illustrationen |
| ISBN: | 9798369312780 |
| DOI: | 10.4018/979-8-3693-1277-3 |
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| id | DE-604.BV049735856 |
| illustrated | Illustrated |
| indexdate | 2024-12-17T19:01:32Z |
| institution | BVB |
| isbn | 9798369312780 |
| language | English |
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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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