自主移动机器人行为融合的进化计算技术

Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) Pub Date : 2000-07-16 DOI:10.1109/CEC.2000.870380

H. Martínez, A. Gómez-Skarmeta, F. Jiménez, Miguel Zamora

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引用次数: 2

摘要

在本文中，我们提出了一种进化技术来解决自主移动机器人不同行为之间的冲突问题。我们还描述了基于自定义编程语言(以其发明者命名为BG, Barber/spl acute/a和Go/spl acute/mez, 1996)和代理体系结构的工作环境，我们在其中测试了使用模糊逻辑开发的一系列行为。最后，给出了在未知环境下的简单导航任务的一些结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evolutionary computation techniques for behaviour fusion in autonomous mobile robots

In this paper, we present evolutionary techniques to solve the problem of the conflicts between different behaviours in the context of an autonomous mobile robot. We also describe the working environment, based on a custom programming language (named BG after its inventors, Barber/spl acute/a and Go/spl acute/mez, 1996) and an agent architecture, where we test a series of behaviours that were developed using fuzzy logic. Finally, some results related to a simple navigational task in an unknown environment are presented.

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Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)

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