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。
Using the rolling optimization concept adopted in predictive control, robot path planning in global unknown environment with moving obstacles is studied.
本文借鉴预测控制滚动优化原理，研究了全局环境未知且存在动态障碍物情况下的机器人路径规划问题。
Secondly, the improved particle swarm optimization for flying robot for overhead powerline inspection is used to resolve the global path planning issue.
其次，采用一种基于改进粒子群算法的路径规划方法实现了飞行机器人的全局路径规划方法。
This paper presents a global path-planning algorithm of mobile robot under uncertain environment.
本文提出了在不确定的环境中，移动机器人的一种全局路径规划算法。
Thirdly, basing on characteristics of mobile robot path planning, we designs a kind of Election-survey Algorithm to solve global optimal result of mobile robot path planning.
再次，根据移动机器人路径规划问题的特性，设计出一种新的基于竞选算法的移动机器人全局最优路径规划方法。
Known map of a robot path planning environment, including the global path planning and local amendments to the Road King planning.
包括所有源代码。实现机器人在已知地图环境中的路径规划，包括全局的路径规划和局部的修正的路劲规划。
Known map of a robot path planning environment, including the global path planning and local amendments to the Road King planning.
包括所有源代码。实现机器人在已知地图环境中的路径规划，包括全局的路径规划和局部的修正的路劲规划。
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