Fuzzy-Rule-Based Behavior Control for Collaborative Human/Robot Navigation in Unknown Environments / 以模糊規則為基礎之行為控制應用於未知環境中人/機之合作式導航

碩士 / 輔仁大學 / 電機工程學系 / 100 / This paper is to develop an intelligent autonomous mobile robot which also reserves the collaborative navigation ability with human beings. In the strategy for robot navigation in unknown environment, the fuzzy-rule-based algorithm is employed to design the fuzzy behavior controller which coordinates conflicts and competitions among multiple reactive behaviors efficiently. This controller consists three control layers: orientation control layer directing the robot toward the goal frame to move to the destination; obstacle avoidance control layer assists the robot in dodging obstacles and, if necessary, escaping out of the dead-cycle situation; human control layer allows humans to influence navigation for handling emergent behavior. The ultrasonic sensor module provides the distance information between the robot and obstacles, while the compass module indicates the heading direction to the target. Through a wireless-based control panel, collaborative navigation control can be shared between the human and the robot at some specific situations. A low-cost platform is developed for this mobile robot in a modular design for promoting flexibility from task to task. Experimental results demonstrate the navigation effectiveness of robot in complex and unknown environments.

Identiferoai:union.ndltd.org:TW/100FJU00428004
Date January 2011
CreatorsLee,Yang-Chang, 李燕章
ContributorsChiang, Hsin-Han, 蔣欣翰
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format87

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