Abstract
We present the system SIGEL that combines the simulation and visualization of robots with a Genetic Programming system for the automated evolution of walking. It is designed to automatically generate control programs for arbitrary robots without depending on detailed analytical information of the robots’ kinematic structure. Different fitness functions as well as a variety of parameters allow the easy and interactive configuration and adaptation of the evolution process and the simulations.
Cite
CITATION STYLE
Busch, J., Ziegler, J., Aue, C., Ross, A., Sawitzki, D., & Banzhaf, W. (2002). Automatic generation of control programs for walking robots using genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2278, pp. 258–267). Springer Verlag. https://doi.org/10.1007/3-540-45984-7_25
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