搜索资源列表
Robot_ML
- Learning for a Robot Locating a Point On a Line A machine learning program which learn to locating a robot at a predefined point on a straight line. Code is implemented in MATLAB 6.5.
51e19f5181a0815207565a62cb90d5b50198c22d
- a matlab code for Dynamical Systems approach to Learn Robot Motions-a matlab code for Dynamical Systems approach to Learn Robot Motions
ilc-based-on-PD
- 迭代学习算法程序，基于PD的，简单，无错误，能够运行，结果准确，适合初学者学习。-interative learning algorithm （ILC) based on PD, it is easy to understand and useful for beginner to learn. the algorithm can be used in industry and robot systerm .Matlab language.
robot-obstacle-avoidance
- 多机器人编队程序，希望大家好好学习看看学习看看。-Multi-robot formation program, and hope that we learn to look at learning to look at.
function-walker
- 一个简单的行走机器人功效出来让大家参照学习。-A simple walking robot with reference to the effect let everyone learn.
Robot_Liu-jinkun
- 机器人的matlab仿真程序，刘金锟的书，对于想要学习机器人控制的研究者非常有帮助。-Robot matlab simulation program, Liu Kun book for researchers who want to learn to control the robot is very helpful.
MDPgridworldExample
- 世界是空格自由（0）或障碍物（1）。每转动机器人可以在8个方向移动，或者留在地方。奖励功能，给人一种自由空间，目标定位，高回报。所有其他空格自由具有小的损失，和障碍具有大的负的奖励。值迭代是用来学习的最佳“政策”，即指定一个控制输入到每一个可能的位置的功能。- The world is freespaces (0) or obstacles (1). Each turn the robot can move in 8 directions, or stay in place. A reward
机器人独立PD控制
- 机器人独立pd控制，供新手学习使用，相关说明可在网上查看资料(Robot independent PD control, for beginners to learn to use, the relevant instructions can be viewed online.)
GameTheory-master
- 运用博弈论，进行机器人避障避障，若多机器人之间存在动态碰撞，利用博弈论构建多机器人之间的动态避障模型，并利用虚拟行动法来解决博弈的求解问题及多Nash 均衡的选择问题，确保每 个机器人 能够快速学习到最优Nash 均衡(robot avoiding if there are dynamic collisions between multi-agents, the game theory is used to construct a dynamic obstacle avoidance mode