Computer Vision Using Fuzzy Logic for Robot Manipulator

: This paper presents a Lab. implementation of a computer vision using fuzzy models for pattern recognition for the detection of boundaries in images obtained through a camera installed in a robotic arm. Here, these images were captured, digitized and analyzed using fuzzy algorithms, in order to used for the control of the robotic arm carrying the camera. 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. Copyright

• Type: Conference
• Year: 2000
• Where: RSCTC
• Authors: Adriano Breunig, Haroldo R. de Azevedo, Edilberto P. Teixeira, Elmo B. de Faria
• Keywords: Fuzzy Logic, Fuzzy Models, Pattern Recognition, Robotic Arm, RSCTC 2000