Multiple robot systems’ communication using MAD-Smart methodology

Author:

Jiménez Builes Jovani Alberto,Ovalle Carranza Demetrio Arturo,Branch Bedoya John William

Abstract

This paper was aimed at exhibiting the real need for having good communication within multiple robots systems using MAD-Smart methodology. Such methodology consists of conceptualising, analysing and designing multiple robot teams by defining a set of activities. MAD-Smart assists developers in further understanding not only the problem to be solved but the final characteristics which a particular system must accomplish and the role played by each agent in resolving problems. This methodology has already been validated by implementing the SMART (robotic multi agent system) project, educational robotics: intelligent machines in education and sensory and perception models in robotic agents for material identification. MAD-Smart has been shown to be more relevant in handling agent roles than the agents themselves for a given communication model. This issue reflects this methodology’s degree of abstraction since a role defining as an abstract representation of high level behavioural allows generalising the best possible scenarios which can be found in a given multi-robot system.

Publisher

Universidad Nacional de Colombia

Subject

General Engineering,Building and Construction

Reference25 articles.

1. Arkin, R., Cooperation without Communication: Multi-Agent Schema Based Robot Navigation., Journal of Robotic System, Vol. 9(3), 1992, pp. 351-364

2. Arkin, R., Balch, T., Nitz, E., Communication of Behavioral State in Multi-Agent Retrieval Task., Proceedings IEEE International Conference on Robotics and Automation, Vol. 1, 1998, pp. 678.

3. Balch, T., Arkin, R., Communication in Reactive Multiagent Robotic System.Disponible en: http://citeseer.ist.psu.edu/balch94communication.html Fecha de acceso: junio de 2008.

4. Birk, A., Condea, C., Mobile Robot Communication without the Drawbacks of Wireless Networking., Lecture Notes in AI (LNAI) 4020, 2006, pp 585-592.

5. Dennet, D., Contenido y Conciencia., Editorial Gedisa, España, 1996.

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