The third part discuss path planning problem.
第三章讨论了路径规划的问题。
The path planning problem of mobile robot is an important composed part of robots' study.
本文针对移动机器人的路径规划问题提出了一种实用的路径规划方法。
The improved particle swarm optimization algorithm is applied to path planning problem in 3-D space.
将改进粒子群优化算法应用于三维空间路径规划。
In this paper a graphic approach to the path planning problem based on the topological method is discussed.
本文提出一个解决基于拓扑的路径规划问题的新途径：图形法。
In this paper, several swarm intelligence optimization algorithm were applied in solving path planning problem in different fields.
本文将二者结合起来，研究了群智能优化算法在不同领域中路径规划规划问题的应用。
It is studied in this paper that the artificial potential field method applied to the local path planning problem for unmanned vehicles.
论文对人工势场法应用于无人车的局部路径规划进行了研究。
To solve the robots path planning problem in dynamic environment, this paper applies adaptive learning to path planning based on reinforcement learning.
本文结合机器人路径规划问题介绍了增强式学习方法，实现了动态环境中基于增强式学习的自适应路径规划。
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。
In this thesis, path planning problem for mobile robots under dynamic environments is comprehensively studied and two methods are presented to deal with the problem.
本文提出了两种新的路径规划方法解决移动机器人在动态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.
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。
The previous control strategy that has been adopted to solve the path planning problem of biped robot can only handle the static or predictable obstacle avoiding problems.
以往的双足机器人路径规划控制策略只能解决静止或以可预测速度运动的障碍物的越障问题。
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。
This paper start with the basic point to point planning in the right angle space and gradually go deep into the path planning problem of curve planning and arbitrary path point.
本文从直角坐标空间中基本的点到点的规划方法人手，逐步深入到曲线的规划问题和过任意路径点的轨迹规划问题。
This paper firstly analyses specificities of collision free path planning problem of free floating space manipulators, discusses the corresponding strategies that should be adopted.
对自由浮动空间机械手无碰撞路径规划问题的特殊性及应采取的策略进行了分析和探讨。
According to the cutting path planning problem of the coal shearer, the paper provided the particle swarm triple spline optimization for the cutting path planning method of the coal shearer.
针对采煤机截割路径的规划问题，提出了粒子群三次样条优化的采煤机截割路径规划方法。
The route prediction for multiple unmanned aerial vehicles (UAVs) task allocation in dynamic battlefield is a complicated path planning problem characterized by multiple paths and real time demands.
战场环境中多无人机任务分配的航路预估是一个具有多路径和实时性双重要求的路径规划问题。
The paper presents a new approach, which is called dynamic priority scheduling based on total potential reduction, to solving the multi robot path planning and coordination problem.
本文提出了一种解决多机器人路径规划与协调问题的新方法：基于总体势减小的优先级动态调度策略。
A kind of time optimal formation strategy is proposed, which is based on path planning and task decomposition as well as an effective algorithm for assignment problem.
针对移动机器人的最速编队问题，结合路径规划和任务分解，提出一种分派问题的新解法和时间最优的编队策略。
Path planning belongs to the bottom planning problem.
轨迹规划属于机器人低层规划问题。
This method combined the ameliorated grid degenerate and dynamic programming, it can solve the problem of time delay in path planning with sudden appearing threats.
提出采用一种结合三角网格退化、变域动态规划以及航迹优化的方法来解决突发威胁下的航迹规划问题。
In addition, this paper also research the one of most important problem -distributing multi-robot system path planning, which is based on distributing multi-robot part path planning.
另外，本文采用分布式局部路径规划的方法实现了分布式机器人系统另一个必须研究的重点问题——分布式多机器人路径规划。
To solve the problem of path planning of LAUV (Long-distance Autonomous Underwater Vehicle), a path planning algorithm based on digital charts is presented.
为了解决远程自主水下机器人(LAUV)路径规划问题，提出一种基于数字海图的路径规划算法。
To resolve the path design problem for cooperative UAVs, a new co-evolutionary computing based path planning method is proposed.
面向多无人机协同作战的航路设计问题，提出了一种较新颖的多无人机协同航路规划共同进化方法。
So the most optimal path planning is regard as the problem of searching for roads which have the least cost in a road net.
所以，最优路径规划最终都可以归结为在特定的道路网络中搜索总代价最小的目标路径问题。
Path planning also a complex problem that not only guarantees a collision-free path with minimum traveling distance but also requires smoothness and clearances.
路径规划也是一个很复杂的问题，不仅要寻求一条无碰撞的最短路径，而且还要求该路径尽可能平滑并满足一定的安全性。
Aiming at the problem of real-time obstacle avoidance for autonomous virtual humans in dynamic unknown environment, this paper presents a path planning model based on the mixed perception information.
针对动态未知环境下的自主虚拟人实时避障问题，提出一种基于混合感知信息的路径规划模型。
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。
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。
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