Functional decomposition method reveals the number of possible specifications of multi-robot system

Vitalijs Komašilovs, Egils Stalidzans

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Number of robot classes in heterogeneous multi-robot systems refers to the number of different robot types in the system, where their members differ from others by any of features like mechanics, sensing or processing hardware, or by internal control architecture. The number of robot classes used for particular task, as well as the specification of functions for each class of robots is usually predefined and are not considered in scope of optimization. However in most cases such assumption is not verified by any calculations and alternative configurations of multi-robot system are not reviewed and evaluated. As a result, application of multi-robot system is impaired and may be economically ineffective. We propose a formal approach, based on decomposition of functional requirements, which can be used to determine the optimal configuration of multi-robot system for particular problem. The analysis of complexity of this problem is presented in this paper.

Original languageEnglish
Title of host publication12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings
Pages161-165
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event12th IEEE International Symposium on Computational Intelligence and Informatics - Budapest, Hungary
Duration: 21 Nov 201122 Nov 2011
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=13680

Publication series

Name12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

Symposium

Symposium12th IEEE International Symposium on Computational Intelligence and Informatics
Abbreviated titleCINTI 2011
Country/TerritoryHungary
CityBudapest
Period21/11/1122/11/11
Internet address

Field of Science*

  • 1.2 Computer and information sciences

Publication Type*

  • 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

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