A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems
Meng Y, Guo H, Jin Y (2011)
In: New Horizons in Evolutionary Robotics. Doncieux S, Bredèche N, Mouret J-B (Eds); Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg: 123-137.
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| Veröffentlicht | Englisch
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Autor*in
Meng, Yan;
Guo, Hongliang;
Jin, YaochuUniBi 
Herausgeber*in
Doncieux, Stéphane;
Bredèche, Nicolas;
Mouret, Jean-Baptiste
Abstract / Bemerkung
Inspired by the major principles of gene regulation and cellular interactions in multi-cellular development, this paper proposes a distributed self-organizing multi-robot system for pattern formation. In our approach, multiple robots are able to self-organize themselves into various patterns driven by the dynamics of a gene regulatory network model. The pattern information is embedded into the gene regulation model, analog to the morphogen gradient in multi-cellular development. Various empirical analysis of the system robustness to the changes in tasks, noise in the robot system and changes in environment has been conducted. Simulation results demonstrate that the proposed method is both effective for pattern formation and robust to environmental changes.
Erscheinungsjahr
2011
Buchtitel
New Horizons in Evolutionary Robotics
Serientitel
Studies in Computational Intelligence
Seite(n)
123-137
ISBN
978-3-642-18271-6
eISBN
978-3-642-18272-3
ISSN
1860-949X
eISSN
1860-9503
Page URI
https://pub.uni-bielefeld.de/record/2978589
Zitieren
Meng Y, Guo H, Jin Y. A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In: Doncieux S, Bredèche N, Mouret J-B, eds. New Horizons in Evolutionary Robotics. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011: 123-137.
Meng, Y., Guo, H., & Jin, Y. (2011). A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In S. Doncieux, N. Bredèche, & J. - B. Mouret (Eds.), Studies in Computational Intelligence. New Horizons in Evolutionary Robotics (pp. 123-137). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-18272-3_9
Meng, Yan, Guo, Hongliang, and Jin, Yaochu. 2011. “A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems”. In New Horizons in Evolutionary Robotics, ed. Stéphane Doncieux, Nicolas Bredèche, and Jean-Baptiste Mouret, 123-137. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg.
Meng, Y., Guo, H., and Jin, Y. (2011). “A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems” in New Horizons in Evolutionary Robotics, Doncieux, S., Bredèche, N., and Mouret, J. - B. eds. Studies in Computational Intelligence (Berlin, Heidelberg: Springer Berlin Heidelberg), 123-137.
Meng, Y., Guo, H., & Jin, Y., 2011. A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In S. Doncieux, N. Bredèche, & J. - B. Mouret, eds. New Horizons in Evolutionary Robotics. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 123-137.
Y. Meng, H. Guo, and Y. Jin, “A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems”, New Horizons in Evolutionary Robotics, S. Doncieux, N. Bredèche, and J.-B. Mouret, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.123-137.
Meng, Y., Guo, H., Jin, Y.: A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In: Doncieux, S., Bredèche, N., and Mouret, J.-B. (eds.) New Horizons in Evolutionary Robotics. Studies in Computational Intelligence. p. 123-137. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
Meng, Yan, Guo, Hongliang, and Jin, Yaochu. “A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems”. New Horizons in Evolutionary Robotics. Ed. Stéphane Doncieux, Nicolas Bredèche, and Jean-Baptiste Mouret. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Studies in Computational Intelligence. 123-137.
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