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Hand/Eye Calibration of a Robot Arm with a 3D Visual Sensor

机译:带3D视觉传感器的机器人手臂的手/眼睛校准

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Hand/eye calibration is useful in many industrial applications, for instance, grasping objects or reconstructing 3D scenes. The calibration of robot systems with a visual sensor is essentially the calibration of a robot, a sensor, and hand-to-eye relation. This paper describes a new technique for computing 3D position and orientation of a 3D visual sensor system relative to the end effector of a robot manipulator in an eye-on-hand robot configuration. When the position of feature points on a calibration target in sensor coordinates viewed at each robot movement, and the position of these points in world coordinates and the relative robot movement between two robot motions are known, a homogeneous equation of the form AX = XB can be derived. To obtain the unique solution of X, it is necessary to make two relative robot arm movements and to form a system of two equations of the form: A_1X = XB_1 and A_2X = XB_2. In this paper, a closed-form solution of this calibration system is derived, and the constraints for existence of a unique solution are described in detail. Test results obtained through a series of simulation show that this technique is a simple, efficient, and accurate method for hand/eye calibration.
机译:手/眼睛校准在许多工业应用中是有用的,例如,抓住物体或重建3D场景。具有可视传感器的机器人系统的校准基本上是机器人,传感器和手动关联的校准。本文介绍了一种用于在手掌机器人配置中计算3D视觉传感器系统的3D视觉传感器系统的3D位置和取向的新技术。当在每个机器人运动中观看的传感器坐标上的特征点的位置时,并且已知在世界坐标和两个机器人运动之间的相对机器人运动中的这些点的位置,但是形式轴的均匀式= XB可以得到。为了获得X的唯一解决方案,必须制作两个相对机器人臂运动并形成形式的两个方程的系统:A_1X = Xb_1和A_2x = Xb_2。在本文中,推导出该校准系统的闭合溶液,详细描述了存在唯一解决方案的限制。通过一系列仿真获得的测试结果表明,该技术是一种简单,高效,准确的手/眼校准方法。

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