Aiming at the problems involved in current path planning, a method for mobile robot path planning to avoid multi-random obstacles based on GA is put forward.
针对当前路径规划中存在的诸多问题，提出了基于遗传算法的机器人避开多随机障碍物的路径规划方法。
A strategy based on global planning layer, local path optimizing layer and reactive navigation controlling layer is presented for indoor mobile robot navigation.
针对室内移动机器人导航问题，提出一种包括全局规划层、局部路径优化层、反应式导航控制层的导航策略。
The paper puts forward a new modified simulated annealing algorithm, which is used for mobile robot path planning.
提出了一种新型改进模拟退火算法，对移动机器人路径进行了全局优化。
For genetic algorithms based path planning of a mobile robot, a novel fixed-length decimal encoding mechanism for the paths of the mobile robot is proposed in this paper.
针对基于遗传算法的移动机器人路径规划，本文提出了一种新的定长十进制路径编码机制。
In a dynamic uncertain environment, this paper presented a path planning method combined time rolling window and artificial bee colony algorithm for mobile robot.
在动态不确定环境下，本文提出了结合时间滚动窗口与人工蜂群算法的移动机器人路径规划方法。
Path planning is an important issue for mobile robot, which makes mobile robot to achieve destination according to set strategy.
路径规划是移动机器人的一个重要问题，它使得机器人在环境中根据相应的策略到达目标点。
The artificial potential field(APF) is a common local path planning method for the mobile robot.
人工势场法是机器人局部路径规划常用的一种方法。
Precision of path depends on how exact to get environment information for path planning of mobile robot.
在路径规划中，规划路径的精确程度取决于获取环境信息的准确程度。
In this paper Q reinforcement learning algorithm is adopted for mobile robot local path planning. It makes mobile robot resolve the problem of local path planning in a complex environment.
将Q强化学习算法应用于移动机器人局部路径规划，解决了移动机器人在复杂环境中的局部路径规划问题。
A path planning approach based on a modified particle swarm optimization (PSO) is presented for mobile robot in known static environments.
提出了基于一种改进微粒群优化算法的移动机器人在已知环境信息下的路径规划方法。
A method of path planning based on rolling Windows with function of normal distribution density for mobile robot was presented in this paper.
在原有滚动窗口路径规划方法基础上，提出基于正态密度函数的滚动窗口路径规划方法。
For the diversity and complexity of the environment, path planning has being an important aspect in the mobile robotic research field and also a crucial technology to intelligentize the robot.
机器人运动环境的多变性和复杂性，决定了移动机器人路径规划问题是机器人领域一个研究重点，也是机器人实现智能化的关键技术。
The path planning for intelligent mobile robot has already become the focus of studying in recent years.
近几年来移动机器人的路径规划技术已成为研究热点。
The path planning for intelligent mobile robot has already become the focus of studying in recent years.
近几年来移动机器人的路径规划技术已成为研究热点。
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