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Publikācija: Task Allocation Methods for Homogeneous Multi-Robot Systems: Feed Pushing Case Study

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Research project
Defending: ,
Publication language English (en)
Title in original language Task Allocation Methods for Homogeneous Multi-Robot Systems: Feed Pushing Case Study
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Agris Ņikitenko
Egons Lavendelis
Mārtiņš Ekmanis
Rūdolfs Rumba
Keywords Task allocation, homogeneous multi-robot systems, trajectory planning feed pushing robot
Abstract The paper discuses several options to implement multi-robot systems focusing on coordination and action planning of the system. Particular implementation described in details as a case study presents a solution used in multi-robot system for feed pushing in cattle farm. The paper describes implementation of behavior based robot team control and two different path planning methods ensuring that the feed pushing work is done properly. Conclusions outline suggestions for practical implementations regardless of particular application domain.
DOI: 10.3103/S0146411618050097
Hyperlink: https://link.springer.com/article/10.3103/S0146411618050097 
Reference Ņikitenko, A., Lavendelis, E., Ekmanis, M., Rumba, R. Task Allocation Methods for Homogeneous Multi-Robot Systems: Feed Pushing Case Study. Automatic Control and Computer Sciences, 2018, Vol.52, No.5, pp.371-381. ISSN 0146-4116. e-ISSN 1558-108X. Available from: doi:10.3103/S0146411618050097
Additional information Citation count:
ID 28288