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本书涉及的研究方法主要应用于油田生产的实际工作中，包括一般储层参数预测、薄互油藏参数预测、火山岩储层参数预测和储层随机模拟等问题，同时还涉及了石油工业中的油管缺损检测、海底输油管道腐蚀检测等应用问题，对污水处理絮凝过程的智能优化控制及移动机器人的全局和局部路径规划等问题的应用也进行了一定的研究。-Book of research methods involved are mainly used in oil field production of practical work, includi
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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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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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维护计划与排程算法源代码，用于解决最短路径问题-Maintenance planning and scheduling algorithm, the source code used to solve the shortest path problem
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：遥操作中采用全局摄像机对机器人进行定位时存在图像畸变带来的误差，针对这一
问题提出了一种图像畸变校正方法，该方法采用径向基神经网络(RBFNN)进行畸变校
正，从而获得机器人在实际空间中的坐标位置。实验表明，该方法简单有效，适用于广角镜
头带来的图像畸变校正，可以满足利用定位坐标进行路径规划的要求。-: Image distortion error when using the the global camera on the robot locate teleoperation
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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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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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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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基于蚁群算法的机器人路径规划MATLAB源码，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 MATLAB source code based on ant colony algorithm, using grid discretization method to model the environment with obstacles, using adjacency matrix to stor
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