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一种移动机器人全局路径规划新方法
A New Method of Motion Planning for Mobile Robot Based on Global Path
【摘要】 针对移动机器人全局路径规划优化问题,本文提出一种采用栅格法进行建模,以分层搜索为核心思想的新搜索方法,该方法在外层采用A*算法将复杂的图元模糊化以简化环境,内层则采用人工势场算法将具体的栅格还原以解模糊,具有一定的理论意义与应用前景。仿真实验表明,该方法能达到较好的路径规划效率和实时性。
【Abstract】 In order to optimize global path planning for mobile robot,a new method is presented which tends to synthesize the advantages of multiple algorithms.The method uses grids to setup the model is modeling using and searches the path based on stages.The outer stage adopts A* algorithm,inner stage adopts artificial potential field algorithm synchronously.The global optimization of path planning is then proved out.Simulation results have shown the effectiveness and real time of the proposed method.
【关键词】 移动机器人;
路径规划;
分层搜索;
全局优化;
【Key words】 mobile robot; path planning; staged searching; global optimization;
【Key words】 mobile robot; path planning; staged searching; global optimization;
【基金】 上海交通大学第13期PRP资助项目(T41013012)
- 【文献出处】 机械设计与研究 ,Machine Design & Research , 编辑部邮箱 ,2009年03期
- 【分类号】TP242
- 【被引频次】17
- 【下载频次】359