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Smooth Path Planning for Robot Docking in Unknown Environment with Obstacles

机译:未知环境中有障碍物的机器人停靠的平滑路径规划

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摘要

This paper presents an integrated approach to plan smooth path for robots docking in unknown environments with obstacles. To determine the smooth collision-free path in obstacle environment, a tree structure with heuristic expanding strategy is designed as the foundation of path planning in this approach. The tree employs 3D Dubins curves as its branches and foundation for path feasibility evaluation. For the efficiency of the tree expanding in obstacle environment, intermediate nodes and collision-free branches are determined inspired by the elastic band theory. A feasible path is chosen as the shortest series of branches that connects to the docking station after the sufficient expansion of the tree. Simulation results are presented to show the validity and feasibility of the proposed approach.
机译:本文提出了一种用于规划机器人在未知环境中对接障碍的平滑路径的集成方法。为了确定障碍环境中的平滑无碰撞路径,该方法设计了具有启发式扩展策略的树结构作为路径规划的基础。该树使用3D Dubins曲线作为其分支和路径可行性评估的基础。为了提高树木在障碍环境中的扩展效率,根据弹性带理论确定了中间节点和无碰撞分支。在树木充分扩展后,选择一条可行的路径作为连接到扩展坞的最短分支系列。仿真结果表明了该方法的有效性和可行性。

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