搜索资源列表
mannul-power-MATLAB
- 人工势场法的运用 学机器人必备 路径规划算法-The use of artificial potential field method learning robot essential
Matlab
- 移动机器人的最优路径规划，也可用于求解迷宫的最短路径-Optimal path planning, of the mobile robot can also be used for the shortest path to solve the maze
lujingguihua-yiqunsuanfa(matlab)
- 机器人障碍环境下路径规划问题，采用改进的回退蚁群算法，matlab版源代码，有可视化界面。-Robot obstacle environment path planning problem, using an improved back colony algorithm, matlab version of the source code, visual interface.
matlab-path-planning
- 机器人路径规划遗传算法matlab仿真源代码-Robot path planning simulation matlab genetic algorithm source code
matlab
- 蚁群算法tsp旅行商问题，讲述路径规划问题-Ant colony algorithm TSP
matlab(1)
- 节约算法，进行路径规划，含有时间窗，能够对路径进行优化-Saving algorithm, path planning, comprising time window, the path can be optimized for
栅格环境matlab源码
- 将数据信息转换为栅格地图，便于进行下一步的路径规划
lianxukongjianyichuansuanfa
- 使用遗传算法在自由空间下对机器人进行全局路径规划 matlab软件-The use of genetic algorithms in the free space of the robot global path planning matlab software
ga1
- 使用matlab软件编程遗传算法在不规则自由空间中的路径规划-Matlab software programming using genetic algorithms in irregular free space path planning
ACO-for-path-planning
- 蚁群算法路径规划matlab代码，可以正常运行-Ant colony algorithm for path planning of the matlab code, and can run normally
matlab
- 人工势场法的路径规划方面的编程代码，能够很好地实现避障，对学习有一定帮助-Path planning artificial potential field programming code, can achieve a good obstacle avoidance, to learn of some help
matlab-code
- 给予遗传算法的航迹规划和路径规划算法，含全部源程序，提供大家共同学习-Route planning and path planning algorithm given genetic algorithm, including all source code, provided we learn together
RGSC
- 人工势场法路径规划 matlab程序。基于随机产生的障碍图，利用人工势场法完成路径规划。内有详注。-Artificial Potential Field Path Planning matlab program. There are detailed notes.
Matlab
- 针对经典Dijkstra算法时间复杂度问题，提出双向Dijkstra搜索算法解决智能交通路径规划问题，并通过仿真实验验证了算法的可行性和有效性(英文版资料)-Typical shortest path is Dijkstra algorithm, its time complexity is O (n 2 ). A map of the city’s road network has many nodes, if we use the Dijkstra algorithm, the time
Matlab
- 为了提高四足机器人在复杂环境下的适应性,重点研究了采用飞行时间(TOF)原理相机的四足机器人环境感知策略并改进了地形识别及路径规划算法.首先采用高斯过程回归(GPR)模型对TOF相机的距离数据进行误差校正,解决了采用传统多项式或三角函数模型进行误差修正时模型阶次过高及函数组合复杂的问题.基于得到的环境深度信息,采用数字高程模型(DEM)进行地形描述,并通过计算各栅格的坡度、粗糙度、起伏度对地形进行识别.粗糙度由该栅格所处的坡度平面与其8邻域高程点的离散程度进行计算,避免了采用高程方差计算时对粗糙
matlab-VRP
- 物流路径规划，节约里程法的matlab实现-Logistics path planning, the MATLAB realization of the economical mileage method
matlab-QLEARNING
- 模拟机器人路径规划,采用强化学习中的Q学习算法来实现,最后会返回机器人选择路径的坐标位置-code for path searching
MATLAB
- 时序差分学习是强化学习的一种重要算法，该代码提供了时序差分学习做路径规划的一个仿真。-Temporal difference learning is an important algorithm for reinforcement learning, which provides a simulation of sequential differential learning for path planning.
bizhangrobot
- 基于人工势场法的机器人路径规划Matlab程序-Obstacle Avoidance Algorithm of Robot Based on Artificial Potential Field
potential_india
- 人工势场法 路径规划 matlab 国外的人写的- R. Kala (2014) Code for Robot Path Planning using Artificial Potential Fields