DocumentCode
3351162
Title
Visual servo in laser remanufacturing robot
Author
Haiming, Zhang ; Xichen, Yang
Author_Institution
Laser Process. Center, Tianjin Polytech. Univ., Tianjin, China
fYear
2010
fDate
26-28 June 2010
Firstpage
3883
Lastpage
3886
Abstract
Intelligent laser remanufacturing robot system has meant a revolution since it is convenient, flexible, high automatic and precise. It is based on industrial robot, vision, high-tech surface techniques and rapid prototyping technology. It has been developed quickly in recent years. Compared to the previous laser remanufacturing system, it has a high degree of automation due to the vision sensors. In this system, morphology information of parts is acquired by cameras, transmitted to the PC via USB. Through image processing and stereo vision algorithms, 3D shape is reconstructed. The defect location is identified and repair parameters are given. Via Ethernet the robot controller is communicated with PC which guides the processing path and speed and monitors the repair process in real-time, feeding back at any time to modify the parameters until fully repaired. This article describes the components and tools, both hardware and software. After testing, the vision servo system performs well.
Keywords
image reconstruction; industrial robots; intelligent robots; rapid prototyping (industrial); recycling; robot vision; stereo image processing; visual servoing; 3D shape reconstruction; Ethernet; high-tech surface techniques; image processing; industrial robot; intelligent laser remanufacturing robot system; rapid prototyping technology; robot controller; stereo vision algorithm; vision sensors; vision servo system; visual servo; Cameras; Intelligent robots; Prototypes; Robot sensing systems; Robot vision systems; Robotics and automation; Sensor systems; Service robots; Servomechanisms; Surface morphology; LabVIEW; laser technique; robot interface; vision servo;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535724
Filename
5535724
Link To Document