两个机器人的最小时间轨迹规划

C. Seshadri, A. Ghosh
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引用次数: 2

摘要

讨论了在同一工作空间工作的两个机器人的时间最优路径规划问题。当两个机械臂在同一工作空间内运动时,尤其是在路径相交时,机械臂的最小时间路径规划问题变得非常复杂。这个问题是通过一种叫做局部变分法(MLV)的变分技术来解决的,该技术允许对状态变量和相位变量都施加约束。为解决该问题,为每个机械手选择无碰撞路径和参数。然后根据为机械手选择的参数对这些路径中的每一条进行参数化。然后对MLV进行几何碰撞检查,以确保机械手以最大可能的速度行进时不会与另一个机械手发生碰撞。通过数字仿真对该算法进行了验证
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum-time trajectory planning for two robots
The problem of time-optimum path planning for two robots working in the same workspace is discussed. The problem of planning minimum-time paths for robot manipulators becomes complicated when two manipulators are traveling in the same workspace, especially in intersecting paths. This problem is solved using a variational technique called the method of local variations (MLV), which allows constraints to be placed on both state and phase variables. To solve the problem, a collision-free path and a parameter are chosen for each manipulator. Each of these paths is then parameterized with respect to the parameter chosen for the manipulator. Geometric collision checking is then used with the MLV to ensure that the manipulator traveling at its maximum possible speed does not collide with the other. The proposed algorithm is tested through digital simulations.<>
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CiteScore
1.40
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