多移动机器人系统自主协作行为设计的仿生分布式控制方法

Q1 Computer Science
G. Yasuda
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引用次数: 2

摘要

本章讨论了智能多移动机器人系统的仿生控制体系结构的设计和实现。本章以构建控制系统为重点,提出了一种非集中的、基于行为的自主协作控制方法,该方法受到生物系统的自适应和自组织能力的启发,可以通过有限的局部交互产生鲁棒和复杂的行为。结合离散事件分布式控制的自主行为模块,采用分层分布式硬件结构实现了基于Petri网的模块化行为控制软件。具有各自前置条件和后置条件的行为模块可以动态连接,以响应来自较低层动作控制模块的状态事件,以实现指定的总体任务。这种涉及计划、控制和反应的方法可以通过分布式自主控制体系结构将高级命令输入与行为模块集成在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bio-Inspired, Distributed Control Approach to the Design of Autonomous Cooperative Behaviors in Multiple Mobile Robot Systems
This chapter deals with the design and implementation of bio-inspired control architectures for intelligent multiple mobile robot systems. Focusing on building control systems, this chapter presents a non-centralized, behavior-based methodology for autonomous cooperative control, inspired by the adaptive and self-organizing capabilities of biological systems, which can generate robust and complex behaviors through limited local interactions. With autonomous behavior modules for discrete event distributed control, a modular, Petri net-based behavioral control software has been implemented in accordance with a hierarchical distributed hardware structure. The behavior modules with respective pre-conditions and post-conditions can be dynamically connected in response to status events from action control modules at the lower level to achieve the specified overall task. The approach involving planning, control, and reactivity can integrate high-level command input with the behavior modules through the distributed autonomous control architecture.
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来源期刊
Foundations and Trends in Human-Computer Interaction
Foundations and Trends in Human-Computer Interaction Computer Science-Computer Science Applications
CiteScore
10.10
自引率
0.00%
发文量
2
期刊介绍: Foundations and Trends® in Human-Computer Interaction publishes surveys and tutorials in the following topics: - History of the research community - Design and Evaluation - Theory - Technology - Computer Supported Cooperative Work - Interdisciplinary influence - Advanced topics and trends - Information visualization
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