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An Error Correction Method for Manipulator Flexibility Based on Elliptic Target Positioning

机译:基于椭圆目标定位的机械臂柔性误差校正方法

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In the teleoperation of lunar surface sampling, a four axis robotic arm is adopted to collect lunar soils and transfer them to the sealed pot. Due to the flexibility of slender sampling arm and interval error of the joint, it is difficult to control the end-effector aligned with the mouth of the sealed pot without any feedback. In order to handle this problem, this paper proposes a method to calculate the position and normal orientation of sealed pot with respect to end-effector by using the elliptic features obtained from the monocular vision camera, based on which the angle of each arm joint is to be solved. Due to the rotational symmetry of round sealed pot, it is difficult to determine the rotations of the normal of the sealed pot. Nevertheless, considering special configuration constraints of the robotic arm, we can ignore the influence of undetermined rotation and solve the four joint angles uniquely. Thus, error of joint angles could be corrected and an effective control is exerted to the arm to guide the end effector gradually approaching the sealed pot. Finally, the effectiveness of the method is verified by experiments.
机译:在月球面采样的遥操作中,采用四轴机械臂来收集月球土壤并将其转移到密封的锅中。由于细长的采样臂的灵活性和接头的间隔误差,很难在没有任何反馈的情况下控制末端执行器与密封锅的嘴对齐。为了解决这个问题,本文提出了一种方法,该方法通过使用从单目视觉相机获得的椭圆形特征来计算密封锅相对于末端执行器的位置和法线方向,并以此为基础确定每个手臂关节的角度有待解决。由于圆形密封罐的旋转对称性,很难确定密封罐法线的旋转。但是,考虑到机械臂的特殊配置约束,我们可以忽略旋转不确定的影响,并唯一地解决四个关节角度。因此,可以纠正关节角度的误差,并对臂施加有效控制,以引导末端执行器逐渐接近密封锅。最后,通过实验验证了该方法的有效性。

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