--- layout: default --- Publication details An approach to time- and space-differentiated pattern formation in multi-robot systems Tim Taylor, Peter Ottery, John Hallam 2007 Abstract We consider the problem of non-trivial pattern formation in decentralised multi-robot systems, and, in particular, how to achieve time- and space-varying behaviour. To tackle the problem, we explore the idea of evolving the fine-level regulation of an underlying self-organising controller. Results from simulation show the promise of the approach: we demonstrate a robot cluster that can stably maintain two different spatial patterns, switching between the two upon sensing an external signal; we also demonstrate a cluster in which individual robots develop differentiated states despite having identical controllers (which could be used as a starting point for functional specialisation of robots within the cluster). The controller was developed with a particular hardware platform in mind—the underwater HYDRON robots developed by the HYDRA consortium (an EU Fifth Framework project). We discuss the implementation of the controller on this and other multi-robot platforms comprising free-moving individual robots, and suggest possible simplifications of the design. This work could eventually have applications in various situations that require robust, complex self-organising behaviour in a collection of free-moving robots, e.g. in space, underwater and nano-scale systems. Full text Author preprint: pdf Reference Taylor, T., Ottery, P., & Hallam, J. (2007). An approach to time- and space-differentiated pattern formation in multi-robot systems. In M. S. Wilson, F. Labrosse, U. Nehmzow, C. Melhuish, & M. Witkowski (Eds.), TAROS 2007: Proceedings of Towards Autonomous Robotic Systems 2007 (pp. 160–167). Department of Computer Science, University of Wales, Aberystwyth. BibTeX @inproceedings{taylor2007approach, author = {Taylor, Tim and Ottery, Peter and Hallam, John}, title = {An approach to time- and space-differentiated pattern formation in multi-robot systems}, booktitle = {TAROS 2007: Proceedings of Towards Autonomous Robotic Systems 2007}, year = {2007}, editor = {Wilson, Myra S. and Labrosse, Fr\'{e}d\'{e}eric and Nehmzow, Ulrich and Melhuish, Chris and Witkowski, Mark}, pages = {160--167}, isbn = {0903878267}, publisher = {Department of Computer Science, University of Wales, Aberystwyth}, category = {conference}, keywords = {grn, hydra, robots} } Related publications
  1. Taylor, T., Ottery, P., & Hallam, J. (2007). Pattern formation for multi-robot applications: Robust, self-repairing systems inspired by genetic regulatory networks and cellular self-organisation (Informatics Research Report No. EDI-INF-RR-0971). University of Edinburgh.
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  2. Konidaris, G., Taylor, T., & Hallam, J. (2007). HydroGen: Automatically Generating Self-Assembly Code for Hydron Units. In R. Alami, H. Asama, & R. Chatila (Eds.), Distributed Autonomous Robotic Systems 6 (Proceedings of the Seventh International Symposium on Distributed Autonomous Robotic Systems, DARS04) (pp. 33–42). https://doi.org/10.1007/978-4-431-35873-2_4
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  3. Stewart, F., Taylor, T., & Konidaris, G. (2005). METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development. In M. S. Capcarrère, A. A. Freitas, P. J. Bentley, C. G. Johnson, & J. Timmis (Eds.), Advances in Artificial Life — 8th European Conference, ECAL 2005 (pp. 108–117). https://doi.org/10.1007/11553090_12
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  4. Østergaard, E. H., Christensen, D. J., Eggenberger, P., Taylor, T., Ottery, P., & Lund, H. H. (2005). HYDRA: From Cellular Biology to Shape-Changing Artefacts. In W. Duch, J. Kacprzyk, E. Oja, & S. Zadrożny (Eds.), Artificial Neural Networks: Biological Inspirations – ICANN 2005 (pp. 275–281). https://doi.org/10.1007/11550822_44
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  5. Taylor, T. (2004). A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots. In F. Groen, N. Amato, A. Bonarini, E. Yoshida, & B. Kröse (Eds.), Intelligent Autonomous Systems 8 (Proceedings of IAS-8) (pp. 403–412). Amsterdam: IOS Press.
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  6. Taylor, T. (1993). Learning to Coordinate Behaviours on a Four-Legged Robot (Master's thesis). Department of Artificial Intelligence, University of Edinburgh.
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