DocumentCode :
1833894
Title :
A modular approach using object-oriented Petri-nets to model ethology inspired scenarios for cooperative mobile minirobotics
Author :
Mostefai, Nadir ; Bourjault, Alain
Author_Institution :
Lab. d´´Autom., CNRS, Besancon, France
Volume :
4
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
3827
Abstract :
The paper presents an approach based on object oriented Petri nets, to model ethology inspired scenarios for cooperative mobile minirobotics. The authors are particularly interested in recruitment mechanisms of ant colonies. So, they develop a model for a specific mechanism which is tandem or group recruitment. For this purpose, they have defined generic modules whose combination leads to the model obtained. Scaling down the size of the robots inspires missions that can capitalise on several agents. Therefore, one is in a multi-agent context and an agent is an autonomous mobile minirobot. Thus, an organisation is involved in the system since it is possible to get an answer for the question: “who” does “what”? Properties of the model developed are verified and examples of simulation results are shown
Keywords :
Petri nets; cooperative systems; intelligent control; mobile robots; object-oriented programming; simulation; software agents; ant colonies; autonomous mobile minirobot; cooperative mobile minirobotics; ethology inspired scenario modelling; generic modules; group recruitment; missions; modular approach; multi-agent context; object-oriented Petri nets; recruitment mechanisms; simulation; tandem recruitment; Biological system modeling; Capacitive sensors; Chemicals; Cognitive robotics; Data structures; Electronic mail; Multirobot systems; Object oriented modeling; Recruitment; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.633267
Filename :
633267
Link To Document :
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