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Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence

Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence

Yan Meng, Yaochu Jin
Copyright: © 2010 |Volume: 1 |Issue: 2 |Pages: 22
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781609603687|DOI: 10.4018/jsir.2010040104
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MLA

Meng, Yan, and Yaochu Jin. "Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence." IJSIR vol.1, no.2 2010: pp.58-79. http://doi.org/10.4018/jsir.2010040104

APA

Meng, Y. & Jin, Y. (2010). Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence. International Journal of Swarm Intelligence Research (IJSIR), 1(2), 58-79. http://doi.org/10.4018/jsir.2010040104

Chicago

Meng, Yan, and Yaochu Jin. "Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence," International Journal of Swarm Intelligence Research (IJSIR) 1, no.2: 58-79. http://doi.org/10.4018/jsir.2010040104

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Abstract

In this paper, a virtual swarm intelligence (VSI)-based algorithm is proposed to coordinate a distributed multi-robot system for a collective construction task. Three phases are involved in a construction task: search, detect, and carry. Initially, robots are randomly located within a bounded area and start random search for building blocks. Once the building blocks are detected, agents need to share the information with their local neighbors. A distributed virtual pheromone-trail (DVP) based model is proposed for local communication among agents. If multiple building blocks are detected in a local area, agents need to make decisions on which agent(s) should carry which block(s). To this end, a virtual particle swarm optimization (V-PSO)-based model is developed for multi-agent behavior coordination. Furthermore, a quorum sensing (QS)-based model is employed to balance the tradeoff between exploitation and exploration, so that an optimal overall performance can be achieved. Extensive simulation results on a collective construction task have demonstrated the efficiency and robustness of the proposed VSI-based framework.

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