首页> 外文会议>Conference on Optomechatronic Systems Ⅱ Oct 29-31, 2001, Newton, USA >Hand/Eye Calibration of a Robot Arm with a 3D Visual Sensor
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Hand/Eye Calibration of a Robot Arm with a 3D Visual Sensor

机译:具有3D视觉传感器的机器人手臂的手/眼校准

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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:手眼校准在许多工业应用中很有用,例如,抓取物体或重建3D场景。具有视觉传感器的机器人系统的校准本质上是机器人,传感器和手眼关系的校准。本文介绍了一种用于计算3D视觉传感器系统相对于手动机器人配置中的机器人操纵器的末端执行器的3D位置和方向的新技术。当已知每次机器人运动时在传感器坐标中的校准目标上的特征点的位置以及世界坐标中这些点的位置以及两个机器人运动之间的相对机器人运动时,可以使用形式为AX = XB的齐次方程被派生。为了获得X的唯一解,必须进行两个相对的机械臂运动,并形成两个方程式的系统:A_1X = XB_1和A_2X = XB_2。在本文中,得出了该校准系统的闭式解,并详细描述了唯一解存在的约束。通过一系列模拟获得的测试结果表明,该技术是一种简单,有效且准确的手/眼校准方法。

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