The local path planning is based on the global path planning.
采用在全局路径规划的基础上进行局部路径规划的方法。
Global path planning allows finding optimal paths under multi-constraints.
全局路径规划可在多种约束条件下找出最优路径。
The whole system includes two parts, the global path planning and the local planning for obstacle avoidance.
采用栅格法建立机器人空间模型，整个系统由全局路径规划和局部避碰规划两部分组成。
The whole system includes two parts: the global path planning and the local planning for obstacle avoidance.
采用栅格法建立了机器人工作空间模型，整个系统由全局路径规划和局部避碰规划两部分组成。
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。
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。
We construct a whole new algorithm for global path planning problem, and realized a lot of numerical experiments. It reveals the efficiency of this method.
我们构造了移动机器人全局路径规划的一种新算法，并进行了大量的数值实验，验证了方法的有效性。
Secondly, according to the working demands of collector, a path planning system is designed, which can complete the global path planning and the local path planning.
针对集矿机工作要求，设计了集矿机路径规划系统，给出了集矿机的全局路径规划和局部动态路径规划。
Global path planning problem for autonomous underwater vehicle (AUV) based on large-scale chart data is investigated by using ant colony optimization (in shorts, ACO) algorithm.
在大范围海洋环境中，应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
While local planning methods can implement real-time planning. But since there is no global information included, such indices as motion path or runtime cannot be optimized.
局部规划方法虽能做到实时规划，但由于没有全局信息，所以无法对运动路径或运行时间等性能指标进行优化。
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。
Frist, the constitution of AUV system is presented. Next, path planning method of AUV is discussed. Global and local path planner that shows the autonomous ability is especially introduced.
首先介绍了自行研制的智能水下机器人的系统组成，然后讨论了其规划方法，并着重介绍了体现水下智能机器人自主能力的全局规划器和局部规划器。
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。
On the basis of the global model, the algorithm of intelligent decision is developed, which is made up of two parts: path planning and velocity planning.
在此基础上开发了智能决策算法，算法包含路径选优和速度规划两部分；
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。
To practical purpose, the solution tries to resolve the path planning problem of a certain kind of environment, which has static global environment with unknown-obstacles.
该方案从实用的角度出发，主要致力于解决移动机器人在全局静态环境已知，但存在未知障碍物（包括动态和静态）的一类环境下的路径规划问题。
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。
It is difficult to get the global geography information without expensive device. All our experiments are based local path planning algorithm.
由于硬件条件的限制，使用家庭安防机器人采集全局地理信息难以实现。
The biggest feature of GA is the parallelism and the global searching, so it's very suitable for the multi-goals problems like flight path planning.
遗传算法的最大特点是其并行性和全局寻优性，特别适用于航迹规划这类多目标规划问题的求解。
The biggest feature of GA is the parallelism and the global searching, so it's very suitable for the multi-goals problems like flight path planning.
遗传算法的最大特点是其并行性和全局寻优性，特别适用于航迹规划这类多目标规划问题的求解。
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