Abstract
The HYDRA work provides insight into the exploitation of holistic behavioural and morphological adaptation in the design of new artefacts. The potential of the new design principle has been exemplified through the construction of robotic systems that can change morphology. Two prototype building block systems has been developed, HYDRON for a fluid scenario, and ATRON for a terrestrial scenario. In the HYDRON case, the individual module can perform 3D motion and is able to arrange in clusters of specific formation without the necessity of physical connections. In the ATRON case, the modules are individually simpler, attach through physical connections, and perform 3D motions by collective actions. Control mechanisms identified from cellular biology has been successfully transferred to the physical building blocks.
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References
Brandt, D., Østergaard, E.H.: Behaviour subdivision and generalization of rules in rule based control of the atron self-reconfigurable robot. In: Proceedings of International Symposium on Robotics and Automation (ISRA), pp. 67–74. Secretaria de Educación Pública (2004)
Christensen, D.J., Østergaard, E.H., Lund, H.H.: Metamodule control for the ATRON self-reconfigurable robotic system. In: Proceedings of the The 8th Conference on Intelligent Autonomous Systems (IAS-8), Amsterdam, pp. 685–692 (2004)
Hotz, P.E.: Genome-physics interaction as a new concept to reduce the number of genetic parameters in artificial evolution. In: Proceedings of The IEEE 2003 Congress on Evolutionary Computation, CEC2003 (2003)
Hotz, P.E.: Exploring regenerative mechanisms found in flatworms by artificial evolutionary techniques using genetic regulatory networks. In: Congress on Evolutionary Computation (CEC), Canberra (2004)
Jørgensen, M.W., Østergaard, E.H., Lund, H.H.: Modular ATRON: Modules for a self-reconfigurable robot. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2068–2073 (2004)
Meinhardt, H.: A model for pattern formation of hypostome, tentacles, and foot in hydra: how to form structures close to each other, how to form them at a distance. Developmental Biology 157(2), 321–333 (1993)
Østergaard, E.H., Tomita, K., Kurokawa, H.: Distributed metamorphosis of regular M-TRAN structures. In: Proceedings of 6th International Symposium on Distributed Autonomous Robotic Systems (DARS), Toulouse, France, June 23-26, pp. 161–170 (2004)
Ottery, P., Hallam, J.: Steps toward self-reconfigurable robot systems by modelling cellular adhesion mechanisms. In: Groen, F., Amato, N., Bonarini, A., Yoshida, E., Kröse, B. (eds.) Proceedings of the The 8th Conference on Intelligent Autonomous Systems (IAS-8), March 2004, pp. 720–728. IOS Press, Amsterdam (2004)
Steinberg, M.S.: Reconstruction of tissues by dissociated cells. Science 141, 401–408 (1962)
Taylor, T.: A genetic regulatory network-inspired real-time controller for a group of underwater robots. In: Groen, F., Amato, N., Bonarini, A., Yoshida, E., Kröse, B. (eds.) Proceedings of the The 8th Conference on Intelligent Autonomous Systems (IAS-8), March 2004, pp. 403–412. IOS Press, Amsterdam (2004)
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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: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_44
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DOI: https://doi.org/10.1007/11550822_44
Publisher Name: Springer, Berlin, Heidelberg
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