Title :
Intelligent sensor network for obstacle avoidance strategy
Author :
Chan Yet, W. ; Qidwai, Uvais
Author_Institution :
Electr. Eng. & Comput. Sci., Tulane Univ., New Orleans, LA
fDate :
Oct. 30 2005-Nov. 3 2005
Abstract :
An obstacle avoidance system was developed for a custom-made autonomous navigational robotic vehicle (ANROV), based on an intelligent sensor network and fuzzy logic control. Unlike conventional crisp control systems, this system is based on soft computing, such that the system mimics human decision making processes and can better recognize obstacles and decide the best course of action. The fuzzy logic control system was developed in MATLAB, the GUI was designed in LabView, and the hardware realization was installed in ANROV for evaluation and development
Keywords :
collision avoidance; fuzzy control; fuzzy logic; intelligent sensors; remotely operated vehicles; wireless sensor networks; ANROV; GUI; LabView; MATLAB; autonomous navigational robotic vehicle; control systems; fuzzy logic control; intelligent sensor network; obstacle avoidance system; soft computing; Control systems; Decision making; Fuzzy logic; Humans; Intelligent robots; Intelligent sensors; Mobile robots; Navigation; Remotely operated vehicles; Robot sensing systems;
Conference_Titel :
Sensors, 2005 IEEE
Conference_Location :
Irvine, CA
Print_ISBN :
0-7803-9056-3
DOI :
10.1109/ICSENS.2005.1597721
