Cellular Neural Network Trainer and Template Optimization for Advanced Robot Locomotion, Based on Genetic Algorithm

@article{Fasih2008CellularNN,
  title={Cellular Neural Network Trainer and Template Optimization for Advanced Robot Locomotion, Based on Genetic Algorithm},
  author={Alireza Fasih and Jean Chamberlain Chedjou and Kyandoghere Kyamakya},
  journal={2008 15th International Conference on Mechatronics and Machine Vision in Practice},
  year={2008},
  pages={317-322}
}
A new learning algorithm for advanced robot locomotion is described in this paper. This method involves both cellular neural networks (CNN) technology and evolutionary algorithms. Learning is formulated as an optimization problem. CNN templates are derived by genetic algorithms after an optimization process [1]. A template generates a specific wave on CNN that leads to the best motion of a walker robot. Details of the algorithm and several applications and simulation results are shown and… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES

An autonomous mini-hexapod robot controlled through a CNN-based CPG VLSI chip

  • 2006 10th International Workshop on Cellular Neural Networks and Their Applications
  • 2006
VIEW 1 EXCERPT

Realization of a CNN-driven cockroachinspired robot

P Arena
  • Circuits and Systems,
  • 2006
VIEW 1 EXCERPT

Evolving multiple sensory-motor controllers based on cellular neural network

  • Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)
  • 2001
VIEW 1 EXCERPT

Genetic algorithm for CNN template learning

P. Arena, L. Fortuna, M. Branciforte
  • Circuits and Systems I : Fundamental Theory and Applications , IEEE Transactions on [ see also Circuits and Systems I : Regular Papers , IEEE Transactions on ]
  • 1993