分层机器人控制系统

B. Bhanu, Nils Thune, M. Thune
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引用次数: 7

摘要

使机器人智能化的控制系统是当今工厂自动化过程中的一个主要问题。本文提出了一种分层机器人控制系统,称为CAOS,即使用动作导向模式控制,其思想来自神经科学。我们使用面向动作的模式(称为神经模式)作为分层控制结构的基本构建块,该结构正在BBN蝴蝶并行处理器上实现。在C和LISP的串行版本中给出了CAOS如何实现识别三维多面体对象的示例。我们还描述了它如何操纵对象的模拟。此外,还讨论了正在进行的系统并行版本的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAOS: A hierarchical robot control system
Control systems which enable robots to behave intelligently is a major issue in todays process of automating factories. This paper presents a hierarchical robot control system, termed CAOS for Control using Action Oriented Schemas, with ideas taken from the neurosciences. We are using action oriented schemas (called neuroschemas) as the basic building blocks in a hierarchical control structure which is being implemented on a BBN Butterfly Parallel Processor. Serial versions in C and LISP are presented with examples showing how CAOS achieves the goals of recognizing three-dimensional polyhedral objects. We also describe a simulation on how it manipulates objects. Moreover, the ongoing implementation of a parallel version of the system is discussed.
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