Concepts and fuzzy models for behavior-based robotics

被引：5

作者：

Bonarini, A ^{[1
]}

Matteucci, M ^{[1
]}

Restelli, M ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Elettron & Informaz, Artificial Intelligence & Robot Lab, I-20133 Milan, Italy

来源：

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2006年 / 41卷 / 02期

关键词：

fuzzy behaviors; autonomous avents; fuzzy world modeling; multi-agent; behavior-based robotics;

D O I：

10.1016/j.ijar.2005.06.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a modeling paradigm that uses fuzzy sets to represent concepts oil which control modules of a behavior-based autonomous robot operate. The primitives defined in the modeling paradigm are expressive enough to represent the knowledge needed by planning, coordination, and reactive control of a multi-robot control system. At the same time, it provides a well-founded tool to represent in a compact way the data interpretations needed to reason effectively about what is happening in the world and what is desired to happen. This modeling paradigm makes the design of behavior, planning, and coordination modules easy, since its primitives are simple and expressive. Moreover, it provides a sound framework to deal with uncertainty in sensing and world modeling. (C) 2005 Elsevier Inc. All rights reserved.

引用

页码：110 / 127

页数：18

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