受人类神经调节系统启发的机器人功能部件集成与管理模型

J. Berná-Martínez, J. Pérez
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引用次数: 13

摘要

本文提出了机器人控制系统各功能部件的集成与管理模型。为此,我们使用人类神经调节系统作为任务和操作行为分解的基础,并依赖于SOA范例来设计允许系统生存的分布式体系结构。该方案通过提高系统的可重用性和基于模式的设计等特性,保证了系统模块之间的完全解耦,同时系统是完全分布式的,保证了系统的高灵活性、可扩展性、鲁棒性和容错性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model of integration and management for robotic functional components inspired by the human neuroregulatory system
This paper presents a model of integration and management for robotic functional components that make up the robotic control system. To that end, we use the human neuroregulatory system as the basis for the decomposition of tasks and actions behavior, and we rely on the SOA paradigm for the design of a distributed architecture that allows the viability of the system. This proposal will ensure a total decoupling between modules by promoting the reusability and features such as pattern-based design, while the system is fully distributed ensuring high flexibility, scalability, robustness and fault tolerance.
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