Usage of Evolutionary Algorithms in Swarm Robotics and Design Problems
Autor: | Ozlem Karaca Akkan, LEVENT TÜRKLER, Taner AKKAN |
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Rok vydání: | 2022 |
Předmět: |
Communication
ComputingMethodologies_MISCELLANEOUS Computer Science::Neural and Evolutionary Computation Robotics swarm robotics optimization multi robotic systems evolutionary algorithm simulation Biological Evolution Biochemistry Atomic and Molecular Physics and Optics Analytical Chemistry Computer Science::Multiagent Systems Computer Science::Robotics Electrical and Electronic Engineering Instrumentation Algorithms |
Zdroj: | Sensors; Volume 22; Issue 12; Pages: 4437 |
ISSN: | 1424-8220 |
DOI: | 10.3390/s22124437 |
Popis: | In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, which form the basis of swarm robotics, are introduced. Communication topologies in robotic swarms, which are similar to the communication methods between living things moving in nature, are included and how these can be used in swarm communication is emphasized. With the developed algorithms, how the swarm can imitate nature and what tasks it can perform have been explained. The various problems that will be encountered in terms of the design of the optimization methods used during the control of the swarm and the solutions are simulated using the Webots software. As a result, ideas on the solutions of these problems and suggestions are proposed. |
Databáze: | OpenAIRE |
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