Computer Vision Using Fuzzy Logic for Robot Manipulator

Authors:
Adriano Breunig;Haroldo R. de Azevedo;Edilberto P. Teixeira;Elmo B. de Faria
Affiliations:
-;-;-;-
Venue:
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Year:
2000

Citing 5
Cited 0

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Abstract

This paper presents a Laboratory implementation of a computer vision using fuzzy logic techniques for the detection of boundaries in images obtained through a camera installed in a robotic arm. Here, these images were captured, digitized and analysed using fuzzy algorithms, in order to used for the control of the robotic arm carrying the camera. The image treatment process uses the method proposed by Pal and Majumder (1987), which employs image enhancement techniques through the use of fuzzy set concepts. The image recognition process generates the control signal necessary to move the robotic arm in a given specific pathway, as well as to determine the next action to be taken at the end of the task.