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Collision detection and distance calculation for safe path planning based on mathematical programming methods

机译:基于数学编程方法的安全路径规划中的碰撞检测与距离计算

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摘要

When the safe path for a robot manipulator is planned in the presence of obstacles, it is necessary to detect the collisions among the manipulator links and the obstacles. In a three-dimensional workspace, it is not easy to detect the interference and to compute the distance between the polyhedral objects, which also needs a large calculation effort. Besides, to plan the safe path in a short time, computations have to be rapid. To settle such problems, several methods based on mathematical programming are proposed. They are applications of linear programming, multiple goal programming, and quadratic programming and are adapted to collision detection, distance calculation, and safe path planning. As all the equations to be solved are linear, the requirements are accomplished with a small calculation effort with the proposed method.
机译:当在存在障碍物的情况下计划了机器人机械手的安全路径时,有必要检测机械手连杆与障碍物之间的碰撞。在三维工作空间中,检测干扰并计算多面体之间的距离并不容易,这也需要大量的计算工作。此外,为了在短时间内规划安全路径,计算必须快速。为了解决这些问题,提出了几种基于数学编程的方法。它们是线性编程,多目标编程和二次编程的应用程序,适用于碰撞检测,距离计算和安全路径规划。由于所有要求解的方程都是线性的,因此使用所提出的方法只需少量的计算工作即可满足要求。

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