Determination of Via-point Using Threshold-based Segmentation Algorithm for Joint Space Trajectory Profile

Muhammad B. Abdul Jalil, M. F. Miskon, Ahmad Fauzi Ahmad Kamar
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Abstract

Via-point is a mid-way point between the starting and stopping trajectory points. Finding the via-point from a complex trajectory point data series is challenging due to unknown start and stop points. Therefore, this paper uses the segmentation algorithm to segment the joint space trajectory profile to find the via-point and number of phases in the joint trajectory profile. Our algorithm deals with multiple joint robot configurations to ensure the number of phases is the same for all joints. The algorithm finds the standard deviation, $\sigma$ of each joint profile, and selects the highest value referred to as the most dominant joint, Jd, during movement execution. Then segment the Jd based on direction change as a reference to all other joints. We show that the algorithm can locate a via-point to reduce the complexity of robot motion. It shows that the algorithm can produce the same number of segments for the repetitive joint motion.
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基于阈值分割算法的关节空间轨迹剖面过点确定
中点是起始和停止轨迹点之间的中点。由于起始点和停止点未知,从复杂的轨迹点数据序列中寻找过境点具有挑战性。因此,本文采用分割算法对关节空间轨迹剖面进行分割,求出关节轨迹剖面中的过点和相数。该算法处理多关节机器人构型,以保证所有关节的相位数相同。该算法求出每个关节轮廓的标准差$\sigma$,并在运动执行过程中选择最高的值作为最优关节Jd。然后根据方向变化对Jd进行分割,作为所有其他关节的参考。我们证明了该算法可以定位过点,从而降低了机器人运动的复杂性。实验结果表明,该算法能够产生相同数量的重复关节运动段。
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