复杂路径下机器人路径规划优化方法仿真

Robot Path Planning Under Complicated Path Simulation Optimization Method

研究复杂路径下机器人路径规划方法,提高规划的合理性。机器人在面临复杂环境下,路径选择伴随大量错误,导致选择精度过低。为了避免上述传统算法的弊端,提出了一种基于自治智能体的复杂路径下机器人路径规划方法。详细描述机器人路径规划的相关原理,对机器人路径进行合理的编码,根据上述路径建立初始种群,获取上述种群的适应性函数,针对种群中的所有路径进行交叉和变异运算,从而得到复杂路径下的机器人路径规划结果。实验结果表明,利用本文算法进行复杂路径下机器人路径规划,能够有效提高路径规划的合理性,从而满足用户的实际需求。

Study the method for robot path planning under complicated paths to enhance the rationality of planing. Robot in the face of the complex environment, path selection with a lot of mistakes, lead to choose low presion. In order to avoid the disadvantages of the traditional algorithm, is proposed based on an autonomous agent me od for robot path planning under complicated path. Detailed description of relevant principle of robot path plannin the robot path in a reasonable manner of coding, according to the above path to establish initial population, fitness function for the population, against all the paths in the population of crossover and mutation operations, and the rol path planning under complicated path is the result. The experimental results show that the algorithm presented in paper for robot path planning under complicated path, can effectively improve the rationality of the path planning as to meet the needs of users.