Swarm Robotics: Past, Present, and Future [Point of View]

Swarm robotics deals with the design, construction, and deployment of large groups of robots that coordinate and cooperatively solve a problem or perform a task. It takes inspiration from natural self-organizing systems, such as social insects, fish schools, or bird flocks, characterized by emergent...

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Veröffentlicht in:Proceedings of the IEEE Jg. 109; H. 7; S. 1152 - 1165
Hauptverfasser: Dorigo, Marco, Theraulaz, Guy, Trianni, Vito
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Schlagworte:
Adaptation and Self-Organizing Systems
Artificial Intelligence
Computational Complexity
Computer Science
Design methodology
Fault tolerance
Insects
Life Sciences
Multiagent Systems
Multiple robots
Neurons and Cognition
Nonlinear Sciences
Performance evaluation
Psychology and behavior
Robotics
Robots
Robustness
Self organizing systems
Self-organizing networks
Swarm particle optimization
ISSN:0018-9219, 1558-2256
Online-Zugang:Volltext
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Zusammenfassung:Swarm robotics deals with the design, construction, and deployment of large groups of robots that coordinate and cooperatively solve a problem or perform a task. It takes inspiration from natural self-organizing systems, such as social insects, fish schools, or bird flocks, characterized by emergent collective behavior based on simple local interaction rules <xref ref-type="bibr" rid="ref1">[1] , <xref ref-type="bibr" rid="ref2">[2] . Typically, swarm robotics extracts engineering principles from the study of those natural systems in order to provide multirobot systems with comparable abilities. This way, it aims to build systems that are more robust, fault-tolerant, and flexible than single robots and that can better adapt their behavior to changes in the environment.
Bibliographie:ObjectType-Article-1
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ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2021.3072740