Abstract
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.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference44 articles.
1. Reactivity and Deliberation: A Survey on Multi-Robot Systems;Iocchi,2001
2. A Data-Driven Soft Sensor for Swarm Motion Speed Prediction Using Ensemble Learning Methods
3. Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm;Jalali;Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC),2019
4. A Low Cost Omnidirectional Relative Localization Sensor for Swarm Applications;Kohlbacher;Proceedings of the 2018 IEEE 4th World Forum on Internet of Things (WF-IoT),2018
5. Indoor navigation with a swarm of flying robots;Stirling;Proceedings of the 2012 IEEE International Conference on Robotics and Automation,2012
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献