首页> 外文会议>IEEE/RSJ International Conference on Intelligent Robots and Systems;IROS 2009 >An automated method to calibrate industrial robot joint offset using virtual line-based single-point constraint approach
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An automated method to calibrate industrial robot joint offset using virtual line-based single-point constraint approach

机译:基于虚拟线的单点约束方法自动校准工业机器人关节偏移的方法

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This paper describes an industrial robot joint offset calibration method called the virtual line-based single-point constraint approach. Previous methods such as using CMM, laser trackers or cameras are limited by the cost or the resolution. The proposed method relies mainly upon a laser pointer attached on the end-effector and single position-sensitive detector (PSD) arbitrarily located on the workcell. The automated calibration procedure (about three minutes) involves aiming the laser lines loaded by the robot towards the center of the PSD surface from various robot positions and orientations. The intersections of each pair of laser lines eventually should converge to the same point after compensating the joint offsets. An optimization model and algorithm have been formulated to identify the robot offset. For the highly precise feedback, a segmented PSD with a position resolution of better than 0.1 ¿m is employed. The mean accuracy of robot localization is up to 0.02 mm, and the mean error of the parameter identification is less than 0.08 degrees. Both simulations and experiments implemented on an ABB industrial robot verify the feasibility of the proposed method and demonstrated the effectiveness of the developed calibration system. The goal of fast, automated, low-cost, and high precision offset calibration are achieved.
机译:本文介绍了一种工业机器人关节偏移校准方法,称为基于虚拟线的单点约束方法。诸如使用CMM,激光跟踪仪或照相机之类的先前方法受到成本或分辨率的限制。所提出的方法主要依赖于连接在末端执行器上的激光指示器和任意位于工作单元上的单个位置敏感检测器(PSD)。自动校准过程(大约三分钟)涉及将机器人加载的激光线从各种机器人位置和方向对准PSD表面的中心。补偿接头偏移后,每对激光线的交点最终应会聚到同一点。制定了优化模型和算法来识别机器人偏移。为获得高精度反馈,采用了位置分辨率优于0.1 µm的分段PSD。机器人定位的平均精度高达0.02 mm,参数识别的平均误差小于0.08度。在ABB工业机器人上进行的仿真和实验均证明了该方法的可行性,并证明了开发的校准系统的有效性。实现了快速,自动化,低成本和高精度偏移校准的目标。

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