An algorithm for swarm robot to avoid multiple dynamic obstacles and to catch the moving target
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522818" target="_blank" >RIV/70883521:28140/19:63522818 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-20915-5_59" target="_blank" >http://dx.doi.org/10.1007/978-3-030-20915-5_59</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-20915-5_59" target="_blank" >10.1007/978-3-030-20915-5_59</a>
Alternative languages
Result language
angličtina
Original language name
An algorithm for swarm robot to avoid multiple dynamic obstacles and to catch the moving target
Original language description
This paper presents a method for swarm robot to catch the moving target and to avoid multiple dynamic obstacles in the unknown environment. An imaginary map is built, including the highest mountain, some small hills, and a lowest lying land, respectively corresponding to the starting position of the robot, the detected obstacles, and the target. The robot is considered as a flow of water flowing from high to low. The flow of water is the robot trajectory that is divided into a set of points created by an algorithm called Self-organizing migrating algorithm. Simulation results are also presented to show that the obstacle avoidance and catching target task can be reached using this method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-20911-7
ISSN
03029743
e-ISSN
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Number of pages
10
Pages from-to
666-675
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Zakopane
Event date
Jun 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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