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A novel kinematic calibration method for a handling robot based on optimal trajectory planning

机译:基于最优轨迹规划的搬运机器人运动学标定新方法

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Kinematic calibration is of great significance to the application of handling robot in the field of stamping industry. In this paper, a novel kinematic calibration method of a 5-DOF handling robot is proposed based on optimal trajectory planning. In order to illustrate our independently developed mechanical structure composed of three rotary joints and two translational joints, the forward kinematic model is constructed using the MDH method. And then, we establish the error model according to the difference between the theoretical position and actual position of robot end effector. Furthermore, a low cost vision measurement system is designed with single camera and self-designed target, while the optimal trajectory for kinematic calibration consisted of calibration points is obtained by Genetic Algorithm (GA). Finally, two simulation experiments are executed to verify the effectiveness and efficiency of our kinematic calibration method.
机译:运动学标定对于搬运机器人在冲压行业的应用具有重要意义。本文提出了一种基于最优轨迹规划的五自由度装卸机器人运动学标定方法。为了说明我们独立开发的由三个旋转接头和两个平移接头组成的机械结构,使用MDH方法构造了正向运动学模型。然后,根据机器人末端执行器的理论位置与实际位置之间的差异建立误差模型。此外,设计了一种具有单摄像头和自行设计目标的低成本视觉测量系统,并通过遗传算法(GA)获得了由标定点组成的运动学标定的最佳轨迹。最后,进行了两个仿真实验,以验证我们的运动学标定方法的有效性和效率。

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