搜索资源列表
Astar
- 用于智能机器人的路径规划,A*算法,可以借鉴-path finding
Ants-PathPlanning
- 基于蚁群算法的机器人全局路径规划代码,matlab语言-Ant colony algorithm based robot global path planning code, matlab language
path-planning
- 路径规划的子程序,五个文件打开后,运行主程序,直接可以得到移动机器人局部路径规划的图像。-Path planning subroutine, five files open, run the main program, you can directly get the mobile robot local path planning images.
Dijkstra-master
- Dijkstra算法,解决机器人的路径规划问题,使用的程序语言为matlab语言。(This is the Dijkstra algorithm. It can solve the robot path planning problem, and the result is good. The programming language used is the MATLAB language.)
ant. MATLAB
- 蚁群算法在机器人路经规划中MATLAB栅格地图求得最短路径(Robot path planning MATLAB ant colony algorithm to find the shortest path in the grid map)
path_planning-master
- 新型扫地机器人的一种路径规划算法A path planning algorithm for sweeping robot(A path planning algorithm for sweeping robot)
navigation-kinetic-devel
- 对ROS机器人进行路径规划,其中主要包括了ROS节点配置,环境变量配量,以及路径规划和导航算法。(Path planning of ROS robots, including ROS node configuration, environment variable allocation, and path planning algorithm.)
robo
- 机器人栅格地图创建,机器人栅格地图的路径规划问题(Robot raster map creation, robot grid map path planning problem)
pathRRT
- 用matlab将RRT算法编程并仿真出机器人的路径规划(Use the matlab to program the RRT algorithm and simulate the path planning of the robot)
2D Ant Colony Algorithm
- 用MATLAB将二维蚁群算法编程并仿真出机器人的路径规划得出最短路径(Using MATLAB to program the two-dimensional ant colony algorithm and simulate the path of the robot to draw the shortest path)
Dijkstra graphshortestpath floyd
- 移动机器人的最优路径规划 Dijkstra 算法程序代码 路径规划程序(path planning Optimal path planning of mobile robot Dijkstra algorithm code path planning program)
MATLAB Robotics motion planing
- 移动机器人的一些路径规划一些程序。是关于matlab的(Some Paths for Mobile Robots Some Programs for Mobile Robot Path Planning Some Programs)
Artificial potential field method
- 应用改进的人工势场法进行机器人的路径规划,加入避障功能。(The improved artificial potential method is applied to the path planning of the robot, and the obstacle avoidance function is added.)
matlab
- 智能小车是移动机器人的一种,可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物,必须对其进行路径规划?,路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有:BP人工神经网络法(Back Propagation)、机器学习(Reinforcement Learning)、以及模糊控制(Fuzzy Control)方法等。(There are many ways on autonomous mobile robot obstac
Desktop
- 移动机器人自主避障系统的设计方法多种多样,其中基于模糊控制的机器人避障系统主要是利用模糊逻辑控制器对机器人周围环境信息进行分析和判断,并规划出一条到达目标点的无碰撞路径。该方法有着占用资源小,反应迅速,并能应对相对复杂的外部环境。本文主要以基于模糊控制原理对移动机器人避障路径规划所作的相关研究为主要内容。(There are many ways on autonomous mobile robot obstacle avoidance system designing, which bas
potential
- 利用人工势场法对机器人进行路径规划,能够有效避开障碍物(The artificial potential field method is used to plan the path of the robot, which can effectively avoid the obstacles)
GA_for_Multi-Goal
- 通过遗传算法,在栅格环境下完成多机器人的路径规划(Through genetic algorithm, path planning of multiple robots is completed in raster environment.)
MultiRobot_System-master
- 使用phthon编程算法多机器人或多智能体的路径规划(algorithm for path planning)
src
- ros机器人控制小车程序,slam建图,路径规划,自主导航,继承摄像头,雷达,惯导驱动(ROS robot control car program, slam mapping, path planning, autonomous navigation, inherited camera, radar, inertial navigation drive)
程序1
- 针对移动机器人在海水环境中的三维路径规划问题容易陷入局部最优和收敛慢等瑕疵,根据三维环境全局信息来改进蚁群算法以提高实时性和收敛速度(the ant colony algorithm is improved according to the global information of 3D environment to improve the real-time performance and convergence speed)