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- W2084162549 abstract "Embryonic development of multicellular organisms, also known as morphogenesis, is regarded as a robust self-organization process for pattern generation. Inspired by the recent findings in biology indicating that morphogen gradients, together with a Gene Regulatory Network (GRN), play a key role in biological patterning, we propose a framework for self-organized multirobot pattern formation and boundary coverage based on an artificial GRN model. The proposed framework does not need a global coordinate system, which makes it more practical to be implemented in a physical robotic system. Moreover, an adaptation mechanism is included in the framework so that the self-organization algorithm is robust to changes in the number of robots. Various case studies of multirobot pattern formation and boundary coverage show the effectiveness of the framework." @default.
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- W2084162549 date "2012-04-01" @default.
- W2084162549 modified "2023-10-13" @default.
- W2084162549 title "A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage" @default.
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- W2084162549 doi "https://doi.org/10.1145/2168260.2168275" @default.
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