DocumentCode :
2879955
Title :
Semantic service composition mechanism for component-based robotic system
Author :
Qian, Kun ; Ma, Xudong ; Dai, Xianzhong ; Jin, Xin
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
3311
Lastpage :
3316
Abstract :
Automatic service composition is a key issue of cooperative resource utilization in component-based networked robot system. In this paper, a semantic-based automatic service composition method is proposed. The semantic representation and composition of service is achieved by semantic descriptions of service functions and formulating a set of I/O parameters matching rules. Based on this, a bidirectional breadth-first traversal search algorithm inspired by the maze problem is proposed. As a result, the proposed method is capable of automatically generating plans to compose the functions according to the task requirement. Experimental results validate the effectiveness and the flexibility of the proposed method.
Keywords :
cooperative systems; mobile robots; multi-robot systems; object-oriented programming; robot programming; service robots; tree searching; I-O parameter matching rules; bidirectional breadth first traversal search algorithm; component based networked robot system; cooperative resource utilization; maze problem; semantic based automatic service composition method; semantic description; semantic representation; service function; Cameras; Robot kinematics; Robot vision systems; Semantics; Software; Component-based robotic system; Rule-based matching; Service composition; Service robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119842
Filename :
6119842
Link To Document :
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