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搜索资源 - The Path Planning Problem
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这个一个遗传算法的实例，可以解决机器人轨迹规划的问题-This example of a genetic algorithm, can solve the problem of robot path planning
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状态图实际上是一类问题的抽象表示。事实上，有许多智力问题(如梵塔问题、旅行商问题、八皇后问题、农夫过河问题等)和实际问题（如路径规划、定理证明、演绎推理、机器人行动规划等）都可以归结为在某一状态图中寻找目标或路径的问题。因此，研究状态图搜索具有普遍意义。
-State diagram is actually a class of abstract representation of the problem. In fact, there are many mental problems (s
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This project is about implementing a world model that allows the path planning algorithm to query if a certain point in space is free from obstacles. -Planning a path from one point of the environment to another while avoiding collisions with the env
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遗传算法路径规划仿真,运用遗传算法仿真机器人路径规划问题，属于静态规划-Genetic algorithm path planning simulation, using genetic algorithms simulation robot path planning problem, belongs to the static planning
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利用遗传算法解决机器人路径规划问题,较好的一个例程，在VC++平台下开发-Using the genetic algorithm to solve robot path planning problem, the better a routine in VC++ platform development
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The robot path planning problem is a very challenging problem in robotics.
The main goal of this problem is to construct a collision-free path from a starting position
to an end or destination position. However, this navigation problem includes s
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用matlab程序编写的遗传算法路径规划程序用来实现最短路径问题。-Programming using genetic algorithm matlab path planning process used to achieve the shortest path problem.
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此段程序是一套完整的设计程序（包括拓扑图、分析表），运用遗传算法优化解决路径规划问题。-The procedures of this section is a complete set of design procedures (including topology, analysis, table), the use of genetic algorithm optimization to solve the path planning problem.
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机器人路径规划问题 利用物体的势能来解决问题-Robot path planning problem to solve the problem using the potential energy of the object
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应用A*算法解决八自由度迷宫问题，具有地图读入写出功能，可以扩展应用到路径规划问题。-Application of A* algorithm to solve the eight DOF maze problem with map reading into the write function, can be extended to the path planning problem.
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经典的基于GA遗传算法的路径规划问题的实现，能动态的实现所需功能，值得学习研究-The path planning problem of GA based on genetic algorithm classic, can realize the dynamic functions are required, it is worth learning research
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The path planning of mobile robot is an important issue in the field of robotics. Many algorithms have been designed to solve the path planning problem, including classical as well as intelligent approaches. The main aim of path planning is to constr
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文章简要阐述了基于栅格法的移动机器人路径规划算法问题, 并利用C++Buidler 软件开发的仿真平台对该问题进
行了仿真, 仿真结果说明了该算法的有效性和实用性。-This paper briefly describes the programming algorithm problem of mobile robot path based on grid method, and the use of C++ Buidler simulation software development
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(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN
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针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法.首先建立水下水平面内路径规划的模糊规则,并应用A/B模型进行静态和动态障碍物的避障.同时考虑到模糊边界的选择具有很大的随意性,所生成的路径并非最优,利用PSO算法进行模糊集合的优化,使得最终生成的路径最优.应用设计的粒子群优化模糊(PSO-fuzzy)算法针对动静态障碍物进行了避障路径规划,仿真结果验证了所设计的方法的有效性.-The study was conducte
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基于蚁群算法的机器人路径规划。使用网格离散化的方法对带有障碍物的环境建模，使用邻接矩阵存储该环境，使得问题转化为蚁群算法寻找最短路径。-Robot path planning based on ant colony algorithm. Use grid discretization methods with obstacles environment modeling, the use of adjacency matrix to store the environment, the prob
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Path Planning using A star method(Using LabVIEW to deal with the path planning problem)
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基于传统的人工势场法实现的路径规划问题，可以躲避障碍物(The path planning problem based on the traditional artificial potential field method can avoid obstacles)
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在路径规划问题中最经典的算法，本文档利用C++进行算法编译，简洁易懂(In the path planning problem of the most classical algorithm, this document uses c + + algorithm compilation, concise and easy to understand)
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针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法(The path planning problem of autonomous underwater vehicle (AUV) is studied. According to the fuzzy control rules, a fuzzy path planning algorithm based on particle swarm optimization (PS
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