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Intuitive visual definition of part aligned coordinate systems and mo-tions for industrial robots

机译:直观的工业机器人零件对齐坐标系和运动的视觉定义

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Apart from unconstrained free space motions, robot motions often are related to geometrical features like edges, surfaces and contours of the objects to manipulate. Unfortunately, robots do not know the pose of these features, and conventional methods to acquire them are cumbersome and time consuming. We show that if the robot is equipped with vision sensors, the feature coordinate systems can be taught by the instructor in a convenient and fast point and click manner. We further ease the extraction of relevant features by machine vision algorithms. For evaluation we experimentally compare our approach against teach pendant programming on a Universal Robot UR10 and obtain significant time savings for novice as well as experienced robot programmers.
机译:除了不受约束的自由空间运动外,机器人运动通常还与几何特征有关,例如要操纵的物体的边缘,表面和轮廓。不幸的是,机器人不知道这些特征的姿势,并且获取这些特征的常规方法麻烦且耗时。我们表明,如果机器人配备了视觉传感器,则可以由教员以便捷,快捷的点击方式来教授特征坐标系。我们进一步简化了机器视觉算法对相关特征的提取。为了进行评估,我们通过实验将我们的方法与Universal Robot UR10上的示教器编程进行了比较,并为新手和经验丰富的机器人程序员节省了大量时间。

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