DocumentCode :
3001876
Title :
A robot architecture validating method with Agent Oriented Hierarchical Petri Net
Author :
Qiqian, Zhang ; Guomin, Zhou ; Jin, Si
Author_Institution :
Dept. of Comput. Sci., Zhejiang Police Coll., Hangzhou
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
2481
Lastpage :
2485
Abstract :
The robot system, a multi-agent system, is also one comprehensive system which integrates the multiple functions, such as environment perception, information fusion, path-planning, autonomous driving, and etc. Therefore, the robotpsilas architecture must be scheduled to enable the robot agents to show proper performance and intelligence. In this article, the agent oriented conception is exploited to analyze and validate robot architecture with hierarchical Petri nets, which is agent oriented hierarchical Petri net (AOHPN). In the AOHPN, on maintaining the attributes of the object oriented (OO) framework, the agent idea is introduced to reconstruct the object oriented Petri net (OOPN), making the multi-agent system more analogous to the real entities. The agent, as an independent intelligent entity is introduced to the Petri net, and the formal definition of AOHPN is offered. At last, the validating model of robot architecture with AOHPN is achieved.
Keywords :
Petri nets; control engineering computing; multi-agent systems; object-oriented methods; robots; hierarchical Petri net; multiagent system; object oriented framework; robot architecture validating method; Computer architecture; Computer science; Educational institutions; Intelligent agent; Intelligent robots; Mathematics; Multiagent systems; Object oriented modeling; Petri nets; Robotics and automation; Agent; Agent Oriented Hierarchical Petri Net; Petri Net; Robot Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636585
Filename :
4636585
Link To Document :
بازگشت