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。
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