DocumentCode :
3588300
Title :
A visual guided robot using CAD models and fuzzy controller for industrial manipulation
Author :
Ching-Chang Chen ; Chun-Ming Wen ; Wang, Chia-Yu Eric ; Yi-Cheng Chen
Author_Institution :
Intell. Mechatron. Dept., Ind. Technol. Res. Inst., Tainan, Taiwan
fYear :
2014
Firstpage :
87
Lastpage :
90
Abstract :
A visual positioning method is proposed to use the CAD model of an object to determine its position and orientation in real-time. Vision oriented features are generated off-line from the CAD model of the object by taking into account the camera intrinsic parameters. The proposed method can successfully identify the pose of the object even though some part of the object cannot be seen by the camera during manipulation. In addition to the CAD model based visual positioning method, a fuzzy controller is adopted to visually guide an EPSON robot for industrial manipulation and/or assembly. The controller can successfully stabilize and smoothly move the robot to the target object in experiments.
Keywords :
CAD; control engineering computing; fuzzy control; industrial manipulators; real-time systems; robot vision; robotic assembly; CAD models; EPSON robot; camera intrinsic parameters; fuzzy controller; industrial assembly; industrial manipulation; real-time; vision oriented features; visual guided robot; visual positioning method; Cameras; Design automation; Service robots; Solid modeling; Visual servoing; Visualization; CAD model; fuzzy controller; manipulation; visual guide;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Control Conference (CACS), 2014 CACS International
Print_ISBN :
978-1-4799-4586-3
Type :
conf
DOI :
10.1109/CACS.2014.7097167
Filename :
7097167
Link To Document :
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