全局路径规划可在多种约束条件下找出最优路径。
Global path planning allows finding optimal paths under multi-constraints.
在导航系统中，全局路径规划采用改进动态规划算法。
So it's real good path planning method for the multiple robots system.
介绍了全局路径规划的概念，分类，算法评价标准等。
This paper summarizes the basic notion, classification, evaluation criterion of the algorithm, etc.
采用在全局路径规划的基础上进行局部路径规划的方法。
The local path planning is based on the global path planning.
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。
This paper presents a global path-planning algorithm of mobile robot under uncertain environment.
在这两种方法的基础上，本文提出了基于双波传播算法的全局路径规划方法。
Based on those two methods, a new algorithm - Double Propagating Wave algorithm is presented to find a optimum global path.
SCARA型装配机器人的全局路径规划是一种典型的机器人路径规划问题。
The overall route planning problem of SCARA type assemble robot is a kind of typical robot route planning problem.
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.
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。
Secondly, the improved particle swarm optimization for flying robot for overhead powerline inspection is used to resolve the global path planning issue.
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。
The whole system includes two parts: the global path planning and the local planning for obstacle avoidance.
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。
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.
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。
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.
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。
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。
A strategy based on global planning layer, local path optimizing layer and reactive navigation controlling layer is presented for indoor mobile robot navigation.
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。
Using the rolling optimization concept adopted in predictive control, robot path planning in global unknown environment with moving obstacles is studied.
从全局上考虑紧急物资保障的路径选择问题和保障点组合问题，建立了基于风险态度的紧急物资保障规划模型。
From the whole, the problem of selecting paths and the problem of fitting supply points together are considered, and a bi-Level programming model of emergency material supply is constructed.
仿真表明，本文算法通常都能得到全局最优路径，并且规划速度快、内存需求小，非常适合于实时应用。
Simulation results show that it generates global optimal path in most situations, and is very time and space efficient thus suitable for real time applications.
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。
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.
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。
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.
从移动机器人运动能量损耗的角度对移动机器人全局环境未知时的路径规划问题进行了探索，提出了一种新的基于局部最小能量的路径规划算法。
The robot path planning under unknown plane environments is reviewed from an energy-consuming viewpoint, and a novel path planning algorithm based on the local minimum energy is proposed.
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。
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.
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。
Known map of a robot path planning environment, including the global path planning and local amendments to the Road King planning.
应用推荐