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研究了一种基于人工蜂群算法的煤矿救灾机器人全局路径规划算法。该算法首先进行环境建模,然后根据环境信息特点,巧妙结合人工蜂群算法获得机器人全局优化路径。该路径规划方法具有建模方便、算法简单以及不局限于障碍物的形状等特点。实验证明,本算法可以快速有效地规划出一条全局较优化路径,是解决全局环境已知情况下机器人路径规划的一种有效方法。
A global path planning algorithm for coal mine rescue robots based on artificial bee colony algorithm is studied. The algorithm first makes environmental modeling, and then, based on the characteristics of environmental information, the algorithm synthetically combines the artificial bee colony algorithm to obtain the robot global optimization path. The path planning method has the characteristics of convenient modeling, simple algorithm and not limited to the shape of obstacles. Experiments show that this algorithm can quickly and effectively plan a global optimal path, which is an effective way to solve the robot path planning in the known situation of global environment.