Paint Repairing Robot System Based on Point Cloud
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    Abstract:

    The paint repairing robot for cars needs to face vehicles in different sizes and adapt to a variety of modeling surfaces and colors. This highly adaptive requirement makes the design of the paint repairing robot far more difficult in target tracking, path planning, motion space, and other aspects than the painting robot in the automotive manufactory. Therefore, the painting path re-planning is necessary. First, a large amount of point cloud data is segmented by parts, and then the eight-neighborhood method is used to calculate the contour of the closed surface. Finally, the grating path is generated on the surface by the slicing method, and the critical path of each surface is formed. The eight-axis truss robot system is designed and manufactured, and the path planning of the eight-axis linkage is generated by the ant colony algorithm. Subsequently, the generated path and trapezoidal curve acceleration are sent to the PLC-based motion control program through the ADS protocol of the Beckhoff controller to complete the linkage and collaborative paint repairing movement of each joint axis. The experimental results show that the system can automatically control the axis of the robot tool to align the arbitrary surface with the normal vector for different vehicles and drive the eight axes to track the surface motion smoothly. The system can also be widely applied to the robot machining of various surfaces.

    Reference
    [1] 殷际英, 何广平. 关节型机器人. 北京: 化学工业出版社, 2003. 165–167.
    [2] Sheng WH, Chen HP, Xi N, et al. Tool path planning for compound surfaces in spray forming processes. IEEE Transactions on Automation Science and Engineering, 2005, 2(3): 240–249. [doi: 10.1109/TASE.2005.847739
    [3] Chen HP, Sheng WH, Xi N, et al. CAD-based automated robot trajectory planning for spray painting of free-form surfaces. Industrial Robot: An International Journal, 2002, 29(5): 426–433. [doi: 10.1108/01439910210440237
    [4] 缪苏毅. 基于点云切片技术的喷枪轨迹获取方法研究[硕士学位论文]. 镇江: 江苏大学, 2009.
    [5] 孙义东. 基于曲面分割的喷漆轨迹规划方法研究[硕士学位论文]. 哈尔滨: 哈尔滨工业大学, 2018.
    [6] 李德元, 曹鹏, 孙朝犇, 等. 基于多视角立体影像匹配三维建模技术的研究. 经纬天地, 2020, (2): 71–74. [doi: 10.3969/j.issn.1673-7563.2020.02.021
    [7] 韩玉川, 侯贺, 白云瑞, 等. 一种基于边缘系数的闭合点云边缘提取算法. 激光与光电子学进展, 2018, 55(11): 111003
    [8] 周峰, 卢章平, 戴立玲, 等. 采用点云切片技术的喷漆机器人轨迹生成. 工程图学学报, 2009, 30(6): 61–65
    [9] 李明珠. 形状混合的理论与应用研究[硕士学位论文]. 镇江: 江苏大学, 2007.
    [10] 李萍. 龙门式双驱动系统同步运动控制方法研究[博士学位论文]. 武汉: 华中科技大学, 2019.
    [11] 张炜岸. 基于TwinCAT的机器人控制系统设计[硕士学位论文]. 武汉: 武汉纺织大学, 2019.
    [12] 靳海平, 赵强. 基于Ads协议的ZL29滤棒成型机通讯模块的设计与实现. 通讯世界, 2019, 26(7): 69–70. [doi: 10.3969/j.issn.1006-4222.2019.07.042
    [13] 庞党锋, 杜慧起, 崔健. 基于TwinCAT的机电传动控制实验平台设计. 科技与创新, 2020, (18): 130–131
    [14] 李宪华, 张军, 阮学云. LSPB轨迹规划方法在模块化机械器人手臂运动中的应用研究. 安徽省机械工程学会成立50周年论文集. 合肥: 安徽省机械工程学会, 2014. 402–405.
    [15] 张根华. 实时以太网EtherCAT网络研究及在多轴运动中的应用[硕士学位论文]. 南昌: 南昌航空大学, 2012.
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刘春,尹章杰.基于点云的补漆机器人系统.计算机系统应用,2021,30(11):106-111

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History
  • Received:January 17,2021
  • Revised:February 07,2021
  • Online: October 22,2021
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