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Experimental kinematic identification of a 3-DOF decoupled parallel robot using calibrated kinect sensor

机译:使用校准的Kinect传感器对三自由度解耦并联机器人进行运动学识别

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This paper aims at laying down the state of the art of kinematic identification problem of parallel mechanisms for a 3-DOF fully decoupled parallel robot, the so-called “Tripteron”. Due to manufacture errors there are some kinematic uncertainties in the robot which cause real kinematic equations of the robot to be different from the theoretical ones. In this paper, using a white box identification procedure, the independence of degrees-of-freedom in the robot is studied. Considering the fact that the kinematic identification of a robotic manipulator requires the position of its end-effector to be known, in this paper, a so-called “Kinect” sensor which is a vision-infra red sensor is utilized to obtain the spatial coordinates of the end-effector. In order to calibrate the Kinect a novel approach which is based on a neuro-fuzzy algorithm, the so-called “LoLiMoT” algorithm, is used. The results of experimentally performing the identification and calibrating approach are reported in the paper.
机译:本文旨在为三自由度完全解耦的并联机器人,即所谓的“ Tripteron”,提出并联机构的运动学识别问题的技术现状。由于制造误差,机器人中存在一些运动学上的不确定性,这导致机器人的实际运动学方程式与理论方程式有所不同。在本文中,使用白盒识别程序,研究了机器人中自由度的独立性。考虑到机器人的运动学识别需要知道其末端执行器的位置这一事实,在本文中,使用了一种称为“ Kinect”传感器(即视觉红外传感器)来获取空间坐标末端执行器。为了校准Kinect,使用了一种基于神经模糊算法的新型方法,即所谓的“ LoLiMoT”算法。本文报告了通过实验执行识别和校准方法的结果。

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