Structured Light-Based Visual Servoing for Robotic Pipe Welding Pose Optimization

IEEE Access

Gang Rao¹  Jing Xu¹  Jinquan Li²  Zhe Chen² 

[1] Department of Mechanical Engineering, State Key Laboratory of Tribology, Tsinghua University, Beijing, China;School of Automation, Beijing University of Posts and Telecommunications, Beijing, China;

关键词: Robotic welding;    structured light;    feature extraction;    robotic positioning;    visual servoing;    offline programming;   

DOI  :  10.1109/ACCESS.2019.2943248

来源: DOAJ

【 摘 要 】

In order to optimize the pose of welding torch preplanned by offline programming, a structured light-based visual servoing method is proposed. First of all, a series of phase shifting patterns are projected to acquire the so-called phase map. Afterwards, unlike usual feature extraction methods, which were based on 3-D cloud, a cylinder axis is extracted directly from the phase map to represent the connecting pipes' cylindrical surface. Then, a visual servoing control law based on the axis combined with the seam center in phase map is proposed to optimize the pose of the welding torch. Moreover, global asymptotic stability of this method is proved. Finally, simulations and real experiments are performed to demonstrate the effectiveness and robustness of this method. Results show this method can improve the mean error of deviated distance and angle of offline programming by 73.5% and 82.5%, respectively.

【 授权许可】

Unknown