虚拟自主机器人

Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on Pub Date : 1900-01-01 DOI:10.1109/ISIE.2002.1026049

S. Mizik, P. Barani, P. Korondi, M. Sugiyama

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引用次数: 0

摘要

本文的主要目标是将基于电位的引导(PBG)模型扩展为一种更一般的形式，可以用一种常见的神经模糊算法来近似。扩展模型(VFB)消除了PBG的强烈交替行为。通过对不同引导风格描述模型的虚拟训练，给出了若干实例，验证了该方法的有效性。这些实例也显示了使用虚拟环境COSMOS训练不同引导风格描述机器人模型的优势。

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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Virtual autonom robot

The main goal of this paper is to extend the potential based guiding (PBG) model to a more general form that can be approximated by a common type neuro-fuzzy algorithm. The extended model (VFB) eliminates the strongly alternating behavior of PBG. As a result of virtual training of VFB based on different guiding-style description models, some examples are given, which show the effectiveness of VFB. These examples also show the advantages of using virtual environment, COSMOS for training of different guiding-style description robot models.

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来源期刊

Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on

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