Adaptation of a distributed controller depending on morphology
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In this paper, we investigate the influence of an agent’s morphology on its neural controller. Our model consists of a number of identical modules, each of which comprises two half-wheels for movement and a central pattern generator (CPG) as its own neural control. Based on a series of simulation experiments, we conclude that one single type of CPG can adapt well to different types of morphologies, and that there seems to be a suitable or optimal morphology depending on the environmental givens.
Key wordsMorphology Central pattern generator Evolutionary algorithm
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- 1.Pfeifer R, Scheier C (1999) Understanding intelligence. MIT Press, Cambridge, pp 312–315Google Scholar
- 2.Bongard JC, Pfeifer R (2002) A method for isolating morphological effects on evolved behaviour. In: Hallam B, Floreano D, et al. (eds) Proceedings of the 7th International Conference on the Simulation of Adaptive Behaviour (SAB2002), MIT Press, Cambridge, pp 305–311Google Scholar
- 3.Kawauchi Y, Inaba M, Fukuda T (1994) A study on cellular robotic system (A realization of a robotic system capable of adaptation, self-organization, and self-evolution). JRSJ 12:116–132Google Scholar
- 4.Murata S, Tomita K, Yoshida E, et al. (1999) Self-reconfigurable robot: Module design and simulation. Proceedings of 6th International Conference on Intelligent Autonomous Systems (IAS-6), IOS Press, Venice, Italy, pp 911–917Google Scholar
- 6.Jørgensen MW, Østergaard EH, Lund HH (2004) Modular ATRON: modules for a self-reconfigurable robot. Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Sendai, Japan, pp 2068–2073Google Scholar
- 7.Ijspeert A, Cabelguen J-M (2003) Gait transition from swimming to walking: investigation of salamander locomotion control using nonlinear oscillators. In: Kimura H, Tsuchiya K, Ishiguro A, et al. (eds), Adaptive motion of animals and machines. Springer-Verlag Tokyo, Tokyo, pp 177–188Google Scholar
- 8.Satoh H, Yamamura M, Kobayashi S (1996) Minimal generation gap model for GAs considering both exploration and exploitation. Proceedings of IIZUKA’ 96, Iizuka, Japan, pp 494–497Google Scholar