基于三维点云的拣箱运动规划系统

M. Hikizu, S. Mikami, H. Seki
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引用次数: 0

摘要

本文提出了一种基于三维点云的拣箱运动规划系统。假设物体像房子内部一样杂乱地摆放。在家里,使物体排成一行的设备是不存在的。因此,考虑碰撞问题的运动规划系统就显得尤为重要。本文采用激光测距仪(LRF)测量目标的信息。将这些信息作为三维点云,通过模型库对目标进行识别。提出了双指机械手抓取点的搜索方法,并提出了不与其他物体碰撞而接近抓取点的路径搜索方法。
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Motion Planning System for Bin Picking Using 3-D Point Cloud
In this paper, we propose a motion planning system for bin picking using 3-D point cloud. The situation that the objects are put miscellaneously like the inside in a house is assumed. In the home, the equipment which makes an object stand in line doesn’t exist. Therefore the motion planning system which considered a collision problem becomes important. In this paper, Information on the objects is measured by a laser range finder (LRF). The information is used as 3-D point cloud, and the objects are recognized by model-base. We propose search method of a grasping point for two-fingered robotic hand, and propose search method of a path to approach the grasping point without colliding with other objects.
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