DocumentCode
436057
Title
Knowledge-based intelligent diagnosis of anomalous motion of ground robots
Author
Sotelo, M.A. ; Bergasa, L.M. ; Ocana, M. ; Flores, R. ; Magdalena, L. ; Guillaume, Serge
Author_Institution
Dept. of Electron., UAH, Madrid
Volume
15
fYear
2004
fDate
June 28 2004-July 1 2004
Firstpage
45
Lastpage
50
Abstract
This paper describes a robotic application in which some fuzzy techniques have been used to analyze motion problems in a mobile robot. The robot is equipped with ultrasound sensors used for obstacle detection, but, in some cases, small obstacles are out of the range of the sensors and can be dragged by the robot without being detected. The effect of the external obstacle on the robot motion variables can be established by means of linguistic rules, making the use of fuzzy techniques. Using other variables such as measured velocity, undershoots of that velocity, or the derivative of the battery voltage, a fuzzy system is able to diagnose on robot motion problems
Keywords
collision avoidance; fuzzy set theory; fuzzy systems; knowledge based systems; mobile robots; sensors; anomalous motion diagnosis; battery voltage; fuzzy system; fuzzy techniques; ground robots; knowledge based intelligent diagnosis; linguistic rules; mobile robot; obstacle detection; robot motion problems; robot motion variables; ultrasound sensors; Battery charge measurement; Intelligent robots; Intelligent sensors; Mobile robots; Motion analysis; Motion measurement; Robot motion; Robot sensing systems; Ultrasonic imaging; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2004. Proceedings. World
Conference_Location
Seville
Print_ISBN
1-889335-21-5
Type
conf
Filename
1438528
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