Laser tagging: An approach for rapid robot trajectory definition

R. Lumia, Chandra Sekhar Gatla, John E. Wood, G. Starr
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引用次数: 1

Abstract

This paper describes directed laser tagging as an approach to define robot trajectories for low volume applications. The method employs a free-standing laser that is used to define a goal point, a 3D point on an object of interest. Biclops, a directed stereo vision system, uses triangulation to compute the coordinates of the 3D point. A trajectory is defined by collecting a sequence of quasi-static points designated by the free-standing laser. This trajectory can be executed by the robot in 3D space either on the fly or stored for subsequent execution. While a single robot is needed to capture the laser-tagged points, we use a second robot to verify that the 3D point was computed correctly. The first robot carries Biclops and computes the coordinates of the points designated by the free-standing laser. The second robot, which carries a laser, receives the 3D point information from the first robot. Then, the second robot aims at the free-standing laser point. Ideally, the two laser points will overlap. Directed laser-tagging is a rapid way to obtain 3D points compared to other traditional methods including teach-pendants and off-line programming. Experiments show that the error between the laser designated points and the vision acquired points is typically less than 3 mm.
激光标记:一种快速机器人轨迹定义方法
本文描述了定向激光标签作为一种方法来定义机器人轨迹的小批量应用。该方法采用独立激光器,用于定义目标点,即感兴趣对象上的3D点。Biclops是一个定向立体视觉系统,使用三角测量来计算三维点的坐标。通过收集由独立激光器指定的一系列准静态点来定义轨迹。这个轨迹可以由机器人在三维空间中执行,既可以在飞行中执行,也可以存储以供后续执行。虽然需要一个机器人来捕获激光标记的点,但我们使用第二个机器人来验证3D点的计算是否正确。第一个机器人携带Biclops并计算由独立激光器指定的点的坐标。第二机器人携带激光,接收来自第一机器人的三维点信息。然后,第二个机器人瞄准独立的激光点。理想情况下,两个激光点会重叠。与其他传统方法(包括教师挂件和离线编程)相比,定向激光标记是一种快速获得3D点的方法。实验表明,激光指定点与视觉获取点之间的误差一般小于3mm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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