Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the Fuzzy Logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the...
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| 主要な著者: | , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2002
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| 主題: | |
| オンライン･アクセス: | http://eprints.utp.edu.my/4054/1/stamp.jsp%3Ftp%3D%26arnumber%3D1033080%26tag%3D1 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1033080 http://eprints.utp.edu.my/4054/ |
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| 要約: | In this paper. reactive navigation of an
Autonomous Guided Vehicle (AGV) is described
using the Fuzzy Logic technique. Typically AGV has
the ability to operate and move purposely without
human intervention and reactive navigation is one of
the robot navigation methods used in dealing with the
uncertainties and ambiguity of the information of the
path that the robot traverses.
Fuzzy logic is chosen to control the AGV due to its
strength in incorporating the knowledge of an
experienced operator. Two fuzzy controllers will be
designed for controlling the steering angle and speed
of AGV. These will be based on the distance and angle
of obstacles. The navigation simulation will be
performed using MATLAB. |
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