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基于笛卡儿坐标系的迷宫路径规划算法 被引量:2

Maze Path_planning Algorithm Based on Cartesian Co-ordinates
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摘要 针对迷宫这类特殊的环境模型,提出了基于笛卡儿坐标系的新的路径规划算法。该算法通过找出机器人行驶方向和位置变化的关系,方便快捷地实现了对路径的记忆,并且在到达终点后能够通过一种简单的路径优化算法算出最短路径,最终实现以最短路径返回。此算法的可行性已通过轮式机器人实例得到证实。  Aiming at the especial circumstance model of maze, maze path_planning algorithm based on cartesian co-ordinates is raised. It can conveniencely and efficeintly record the route by finding the relationship between the steer direction and the station change of a robot.And after reaching the end piont ,it can compute the shortest way and go back in it by a simple path-planning algorithm.The feasibility of the algorithm has been proved by a simulative wheeled robot.
作者 袁洁 龚晓峰
出处 《微计算机信息》 北大核心 2007年第05X期185-187,共3页 Control & Automation
关键词 路径搜索 路径规划 笛卡儿坐标 机器人 迷宫 path searth,path plan, cartesian co-ordinates, robot,maze
作者简介 袁洁,女(1982-),汉,四川乐山人,硕士,研究方向:检测技术与自动化装置,通讯地址:(610065 四川 四川省成都市四川大学电气信息学院05研); 龚晓峰:男(1965-),汉,浙江金华人,副教授,博士,研究方向:计算机控制与管理
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