Robot multi-driving controls by cellular neural networks
M. Kanaya, Mamoru Tanaka · 2002
We propose a novel method based on the local current comparison method for planning the moving paths of a multi-robot and give some simulation results. This method uses an analog resistive network, competitive networks to find the maximum local current, and a digital-type cellular neural network to search the path. The local current comparison method is related to neighbour node analysis, and this method is suitable as the hardware on the analog-digital hybrid chip. Its basic principle is based on analog dynamics, and it makes the plans so fast that plans can be generated in real-time for robots moving comparatively quickly.>