机器人运动轨迹规划算法的收缩阵列实现

J.-Y. Han, D.C. Krishnan
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引用次数: 0

摘要

针对无碰撞轨迹规划算法,提出了一种基于收缩阵列的并行管道结构。提出了一种用于实现雅可比矩阵伪逆的收缩阵列,并给出了最小范数轨迹规划器和无碰撞轨迹规划器的收缩设计。计算机系统架构可以快速计算机器人的无碰撞轨迹,从而实现实时操作。具体而言,利用收缩阵列确定末端执行器的运动轨迹所需的计算时间约为21.8 μ s,与机械臂的反应时间相比,这是非常短的。因此,该结构非常适合于实时操作
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systolic array realization of a trajectory planning algorithm in robotics
A parallel pipeline architecture using systolic arrays is proposed for a collision-free trajectory planning algorithm. A systolic array for realizing the pseudo-inverse of a Jacobian matrix is proposed, and the systolic design for a minimum norm trajectory planner and collision-free trajectory planner are described. The computer system architecture can compute the collision-free trajectory of a robot fast enough for real-time operation. Specifically, the computation time needed to determine the trajectory of the end-effector using the systolic array is about 21.8 mu s, which is very short when compared to the reaction time of the robotic manipulator. Hence, the structure is well suited for real-time operations.<>
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