基于细胞神经网络的机器人多驱动控制

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381628

M. Kanaya, M. Tanaka

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引用次数: 0

摘要

提出了一种基于局部电流比比法的多机器人运动路径规划方法，并给出了仿真结果。该方法采用模拟电阻网络，竞争网络寻找局部最大电流，数字型细胞神经网络搜索路径。局部电流比较方法与相邻节点分析有关，适合作为模数混合芯片的硬件。它的基本原理是建立在模拟动力学的基础上的，它制定计划的速度非常快，以至于可以为移动相对较快的机器人实时生成计划。

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Robot multi-driving controls by cellular neural networks

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.<>

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Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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