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dc.title | An algorithm for swarm robot to avoid multiple dynamic obstacles and to catch the moving target | en |
dc.contributor.author | Diep, Quoc Bao | |
dc.contributor.author | Zelinka, Ivan | |
dc.contributor.author | Šenkeřík, Roman | |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.relation.ispartof | Artificial Intelligence And Soft Computing, ICAISC 2019, Pt II | |
dc.identifier.issn | 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-3-03-020914-8 | |
dc.date.issued | 2019 | |
utb.relation.volume | 11509 LNAI | |
dc.citation.spage | 666 | |
dc.citation.epage | 675 | |
dc.event.title | 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019 | |
dc.event.location | Zakopane | |
utb.event.state-en | Poland | |
utb.event.state-cs | Polsko | |
dc.event.sdate | 2019-06-16 | |
dc.event.edate | 2019-06-20 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Springer Verlag | |
dc.identifier.doi | 10.1007/978-3-030-20915-5_59 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-030-20915-5_59 | |
dc.subject | self-organizing migrating algorithm | en |
dc.subject | obstacle avoidance | en |
dc.subject | swarm robot | en |
dc.subject | path planning | en |
dc.description.abstract | 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. © Springer Nature Switzerland AG 2019. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1008819 | |
utb.identifier.obdid | 43880087 | |
utb.identifier.scopus | 2-s2.0-85066761499 | |
utb.identifier.wok | 000501606900059 | |
utb.source | d-scopus | |
dc.date.accessioned | 2019-08-13T10:17:23Z | |
dc.date.available | 2019-08-13T10:17:23Z | |
dc.description.sponsorship | VSB-Technical University of Ostrava [SGS 2019/137]; Ministry of Education, Youth and Sports of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089] | |
utb.ou | CEBIA-Tech | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.fulltext.affiliation | Quoc Bao Diep 1 Ivan Zelinka 1, Roman Senkerik 2 1 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava, Czech Republic diepquocbao@gmail.com, ivan.zelinka@vsb.cz 2 Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 76005 Zlín, Czech Republic senkerik@utb.cz | |
utb.fulltext.dates | - | |
utb.fulltext.sponsorship | The following grants are acknowledged for the financial support provided for this research: Grant of SGS 2019/137, VSB-Technical University of Ostrava. The Author Roman Senkerik would like to acknowledge the support of the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089. | |
utb.wos.affiliation | [Diep, Quoc Bao; Zelinka, Ivan] Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava, Czech Republic; [Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Informat & Artificial Intelligence, Nad Stranemi 4511, Zlin 76005, Czech Republic | |
utb.scopus.affiliation | Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava, Czech Republic; Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 76005, Czech Republic | |
utb.fulltext.projects | SGS 2019/137 | |
utb.fulltext.projects | LO1303 | |
utb.fulltext.projects | MSMT-7778/2014 | |
utb.fulltext.projects | CZ.1.05/2.1.00/03.0089 | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.ou | Department of Informatics and Artificial Intelligence |