In this paper, the synergetic aspects of locally interacting nonlinear syst
ems, called cellular neural networks (CNNs), are considered. In particular,
the reaction-diffusion dynamics are analysed in order to generate self-org
anizing phenomena encountered in nature, such as autonomous waves as well a
s morphogenetical patterns. These aspects are finally considered to model,
in a very schematic and simple way, the role of the central pattern generat
or (CPG) for the generation and control of locomotion in animals. Following
these guidelines, the CPG is modelled using CNNs. Some applications are pr
esented to the locomotion coordination of some walking robot prototypes. Th
e approach proposed is very efficient since it allows us to obtain complex
artificial locomotion control strategies on chip.