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Path planning of wheeled mobile robot with simultaneous free space locating capability

机译:同时具有自由空间定位功能的轮式移动机器人的路径规划

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摘要

This paper presents a hybrid path planning algorithm for the design of autonomous vehicles such as mobile robots. The hybrid planner is based on Potential Field method and Voronoi Diagram approach and is represented with the ability of concurrent navigation and map building. The system controller (Look-ahead Control) with the Potential Field method guarantees the robot generate a smooth and safe path to an expected position. The Voronoi Diagram approach is adopted for the purpose of helping the mobile robot to avoid being trapped by concave environment while exploring a route to a target. This approach allows the mobile robot to accomplish an autonomous navigation task with only an essential exploration between a start and goal position. Based on the existing topological map the mobile robot is able to construct sub-goals between predefined start and goal, and follows a smooth and safe trajectory in a flexible manner when stationary and moving obstacles co-exist.
机译:本文提出了一种混合路径规划算法,用于设计无人驾驶汽车(如移动机器人)。混合计划器基于电位场方法和Voronoi图方法,并具有并发导航和地图构建的能力。具有电位场方法的系统控制器(超前控制)可确保机器人生成到预期位置的平滑安全路径。采用Voronoi图方法的目的是帮助移动机器人在探索通往目标的路线时避免被凹面环境所困。这种方法允许移动机器人仅在开始位置和目标位置之间进行必要的探索即可完成自主导航任务。基于现有的拓扑图,移动机器人能够在预定义的起点和目标之间构建子目标,并在固定和移动障碍物共存时以灵活的方式遵循平滑且安全的轨迹。

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