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Erschienen in:
Comparative Analysis of Quasi-Differential Approaches in Inverse Kinematics Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

A Self-adapting Method for 3D Environment Exploration Inspired by Swarm Behaviour

verfasst von : Ján Zelenka, Tomáš Kasanický, Ivana Budinská

Erschienen in: Advances in Service and Industrial Robotics

Verlag: Springer International Publishing

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Abstract

A problem of finding an optimal size of a swarm of robots in a way of effective cooperation is not an easy task to solve. There are many factors, which influence the optimal size of the robotic swarm. Among major factors that have to be considered, belong communication, structure of environment and behavior of agents in the swarm. This paper presents a method for creating a decentralized self-adapting swarm of robots. The task is to set an optimal size of the swarm in a role of space exploration. Communication among robots is restricted to communication through the environment. The only way how agents communicate, is through artificial pheromone marks. This fact gives us an ability to create a decentralized algorithm for controlling and coordination of a robotic swarm, which is robust and efective.

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Vorheriges Kapitel Remote Sensing from RPAS in Agriculture: An Overview of Expectations and Unanswered Questions
Nächstes Kapitel Analysis & Modelling of Powertrain Components for an Efficient UAV Design
Fußnoten
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Metadaten
Titel
A Self-adapting Method for 3D Environment Exploration Inspired by Swarm Behaviour
verfasst von
Ján Zelenka
Tomáš Kasanický
Ivana Budinská
Copyright-Jahr
2018
Buch
Advances in Service and Industrial Robotics

Print ISBN: 978-3-319-61275-1

Electronic ISBN: 978-3-319-61276-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-61276-8_52

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