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A 2-D and 3-D robot path planning algorithm based on quadtree and octree representation of workspace

机译:基于工作空间的四叉树和八叉树表示的2-D和3-D机器人路径规划算法

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This method is of particular interest for robotic systems which require both 2-D navigation to reach the work site and 3-D path planning for on-site manipulation and inspection. The approach of 2-D path planning is extended to 3-D with minimum effort. The quadtree and octree structures are used for 2-D and 3-D workspace representation, respectively. Quadtrees and octrees are generated from a brightness image of the workspace, obtained using a camera mounted on a robot. Path generation is based on the A algorithm. The spatial length and the clearance space available for the robot are used as constraints in the path generation. The results of this approach are illustrated by an experimental system set up on a robotic workstation.
机译:这种方法对于需要2-D导航才能到达工作现场并且需要3-D路径规划以便进行现场操作和检查的机器人系统特别感兴趣。 2-D路径规划的方法以最小的努力扩展到了3-D。四叉树和八叉树结构分别用于2-D和3-D工作区表示。从工作区的亮度图像生成四叉树和八叉树,该图像是使用安装在机器人上的摄像头获得的。路径生成基于A算法。可用于机器人的空间长度和净空空间被用作路径生成中的约束。通过在机器人工作站上建立的实验系统来说明此方法的结果。

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