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METHOD AND SYSTEM FOR OBSTACLE AVOIDANCE IN ROBOT PATH PLANNING USING DEPTH SENSORS

机译:使用深度传感器的机器人路径规划中的避免避免方法和系统

摘要

The present teaching relates to method, system, medium, and implementations for robot path planning. Depth data of obstacles, acquired by depth sensors deployed in a 3D robot workspace and represented with respect to a sensor coordinate system, is transformed into depth data with respect to a robot coordinate system. The 3D robot workspace is discretized to generate 3D grid points representing a discretized 3D robot workspace. Based on the depth data with respect to the robot coordinate system, binarized values are assigned to at least some of 3D grid points to generate a binarized representation for the obstacles present in the 3D robot workspace. With respect to one or more sensing points associated with a part of a robot, it is determined whether the part is to collide with any obstacle. Based on the determining, a path is planned for the robot to move along while avoiding any obstacle.
机译:本教学涉及机器人路径规划的方法,系统,媒体和实现。 由部署在3D机器人工作区中的深度传感器并表示相对于传感器坐标系的深度传感器的深度数据被转换为关于机器人坐标系的深度数据。 3D机器人工作区被离散化以生成表示离散化3D机器人工作区的3D网格点。 基于关于机器人坐标系的深度数据,二值化值被分配给至少一些3D网格点,以为3D机器人工作区中存在的障碍物生成二值化表示。 关于与机器人的一部分相关联的一个或多个感测点,确定该部件是否与任何障碍物碰撞。 基于该确定,计划为机器人进行路径,同时避免任何障碍物。

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