The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Wang Guorong - One of the best experts on this subject based on the ideXlab platform.
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Study of Robot seam tracking system with laser vision
2009 International Conference on Mechatronics and Automation, 2009Co-Authors: Liu Suyi, Liu Lingteng, Bai Jianjun, Wang GuorongAbstract:Welding is developing to automatization and Robotization, and Robot Welding is an important development direction. A Robot real-time seam tracking system based on laser vision is researched, which includes laser vision sensing and seam image acquisition, seam images recognition and extraction, system coordinates calibration and transformation, communication between PC and Robot, control for Robot seam tracking, and Robot seam tracking experiments. A way of image filtering is improved and four methods to recognize and extract seam images are studied. Lap-joint seam tracking experiments are performed to test the seam tracking system. Lap-joint groove experiment results show, corner detecting image recognition is satisfied with real-time seam tracking and has good precision and stability, and the whole system studied in the paper is satisfying for Robot real-time seam tracking.
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Fast Calibration for Robot Welding System with Laser Vision
2008 IEEE Conference on Robotics Automation and Mechatronics, 2008Co-Authors: Liu Suyi, Wang GuorongAbstract:Camera calibration and Robot hand-eye calibration are important parts in applications of Robots with visions. A way to simultaneously carry out camera calibration and Robot hand-eye calibration is presented in Robot Welding system with laser vision. It is based on a certain relation between hand-eye matrix and matrix of Robot hand frame to Robot base frame. Calibration experiments are performed in this way using specifically designed calibration objects. And all parameters to be calibrated are solved out in nonlinear least square optimization method. 3D world coordinates of 20 sample points selected from a v-groove seam are reconstructed with the calibration results. By contrasting their real coordinates, average error is 0.12 mm, which is sufficient to the requirement of Robot seam tracking.
Liu Suyi - One of the best experts on this subject based on the ideXlab platform.
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Study of Robot seam tracking system with laser vision
2009 International Conference on Mechatronics and Automation, 2009Co-Authors: Liu Suyi, Liu Lingteng, Bai Jianjun, Wang GuorongAbstract:Welding is developing to automatization and Robotization, and Robot Welding is an important development direction. A Robot real-time seam tracking system based on laser vision is researched, which includes laser vision sensing and seam image acquisition, seam images recognition and extraction, system coordinates calibration and transformation, communication between PC and Robot, control for Robot seam tracking, and Robot seam tracking experiments. A way of image filtering is improved and four methods to recognize and extract seam images are studied. Lap-joint seam tracking experiments are performed to test the seam tracking system. Lap-joint groove experiment results show, corner detecting image recognition is satisfied with real-time seam tracking and has good precision and stability, and the whole system studied in the paper is satisfying for Robot real-time seam tracking.
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Fast Calibration for Robot Welding System with Laser Vision
2008 IEEE Conference on Robotics Automation and Mechatronics, 2008Co-Authors: Liu Suyi, Wang GuorongAbstract:Camera calibration and Robot hand-eye calibration are important parts in applications of Robots with visions. A way to simultaneously carry out camera calibration and Robot hand-eye calibration is presented in Robot Welding system with laser vision. It is based on a certain relation between hand-eye matrix and matrix of Robot hand frame to Robot base frame. Calibration experiments are performed in this way using specifically designed calibration objects. And all parameters to be calibrated are solved out in nonlinear least square optimization method. 3D world coordinates of 20 sample points selected from a v-groove seam are reconstructed with the calibration results. By contrasting their real coordinates, average error is 0.12 mm, which is sufficient to the requirement of Robot seam tracking.
Zeming Wang - One of the best experts on this subject based on the ideXlab platform.
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Simulation and Optimizing of Work-station of Body-in-white Welding Based on RobCAD
2007 International Conference on Mechatronics and Automation, 2007Co-Authors: Hui Li, Zeming WangAbstract:It is a feasible means to improve efficiency and reliability of body-in-white Welding line by virtual simulation technology. Based on 3D visible simulation soft RobCAD. In this paper the elements such as Welding Robots and fixtures of workstation for body-in-white Welding were analysed, digital modelling method of work-station of body-in-white Welding and Robot Welding path optimizing were proposed.
Hui Li - One of the best experts on this subject based on the ideXlab platform.
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Simulation and Optimizing of Work-station of Body-in-white Welding Based on RobCAD
2007 International Conference on Mechatronics and Automation, 2007Co-Authors: Hui Li, Zeming WangAbstract:It is a feasible means to improve efficiency and reliability of body-in-white Welding line by virtual simulation technology. Based on 3D visible simulation soft RobCAD. In this paper the elements such as Welding Robots and fixtures of workstation for body-in-white Welding were analysed, digital modelling method of work-station of body-in-white Welding and Robot Welding path optimizing were proposed.
Weria Khaksar - One of the best experts on this subject based on the ideXlab platform.
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Robotic Welding Technology
Comprehensive Materials Processing, 2020Co-Authors: T S Hong, Morteza Ghobakhloo, Weria KhaksarAbstract:Since the first industrial Robots were introduced in the early 1960s, the development of Robotized Welding has been truly remarkable and is today one of the major application areas for industrial Robots. Robot Welding is mainly concerned with the use of mechanized programmable tools, known as Robots, which completely automate a Welding process by both performing the weld and handling the part. Robots are quite versatile and hence have been used for a variety of Welding types such as resistance Welding and arc Welding. This chapter describes the development and progress of Robotization in Welding over the years and also discusses many advantages and disadvantages of different Robotic Welding technologies.
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6.04 – Robotic Welding Technology
Comprehensive Materials Processing, 2014Co-Authors: T S Hong, Morteza Ghobakhloo, Weria KhaksarAbstract:Since the first industrial Robots were introduced in the early 1960s, the development of Robotized Welding has been truly remarkable and is today one of the major application areas for industrial Robots. Robot Welding is mainly concerned with the use of mechanized programmable tools, known as Robots, which completely automate a Welding process by both performing the weld and handling the part. Robots are quite versatile and hence have been used for a variety of Welding types such as resistance Welding and arc Welding. This chapter describes the development and progress of Robotization in Welding over the years and also discusses many advantages and disadvantages of different Robotic Welding technologies.
