Cooperation through self-assembly in multi-robot systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
An Approach to Derive Parametric L-System Using Genetic Algorithm
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Parsimonious rule generation for a nature-inspired approach to self-assembly
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In this paper, an assembly swarm algorithm, that will generate microscopic rules from a macroscopic description of complex structures, will be presented. The global structure will be described in a formal way using L-systems (Lindenmayer systems). The proposed algorithm is mainly parallel and exhibit parsimony at microscopic level, being robust and adaptable. In addition, a comparation between a swarm with centralized control and our distributed swarm algorithm will be provided, comparing the time need by the swarm to be assembled and the number of messages exchanged between agents.