Pinned Repositories
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
APF_Code
Code of Artificial Potencial Field Method for Robot Path Planning
automated-driving-control
autoware.ai
Open-source software for self-driving vehicles
cmake_tutorial
navigation_study
自己学习ROS Navigation功能包的笔记
PathPlanning
My study of Path Planning
PathTracking
My study of path tracking
Python-100-Days
Python - 100天从新手到大师
study
just suitable for me
pengyang97's Repositories
pengyang97/navigation_study
自己学习ROS Navigation功能包的笔记
pengyang97/cmake_tutorial
pengyang97/PathPlanning
My study of Path Planning
pengyang97/PathTracking
My study of path tracking
pengyang97/study
just suitable for me
pengyang97/APF_Code
Code of Artificial Potencial Field Method for Robot Path Planning
pengyang97/automated-driving-control
pengyang97/autoware.ai
Open-source software for self-driving vehicles
pengyang97/car_demo
pengyang97/Python-100-Days
Python - 100天从新手到大师
pengyang97/catkin_ws_firefly
The project of firefly robot
pengyang97/cmake-examples-Chinese
快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/
pengyang97/core_planning
pengyang97/CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
pengyang97/Depix
Recovers passwords from pixelized screenshots
pengyang97/detect_planner
A small area navigation method.
pengyang97/learngit
pengyang97/learning_ros
repository to accompany "A Systematic Approach to Learning Robot Programming with ROS"
pengyang97/MATLABRobotics
MATLAB sample codes for mobile robot navigation
pengyang97/mbf_recovery_behaviors
Recovery behaviors for the mbf_costmap_nav server of Move Base Flex (MBF)
pengyang97/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
pengyang97/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
pengyang97/mytest1
my test for use git and github
pengyang97/Path-Planning
本代码的实现包括两个部分： 第一部分： 基于人工势场法的机器人路径规划：随机生成12-15个障碍物，每个障碍物随机占据6-20个栅格，利用该人工势场法编程实现机器人从左下到右上的路径规划。 同时在代码中已实现动态展示的效果。 第二部分： 基于果蝇优化算法的路径规划：根据提供的地图，实现单机器人的全局路径规划。以及拓展部份的双机器人路径规划，两个机器人分别从左下到右上，和从右下到左上。 调用方法： 第一部分：直接运行main.m，有关于调参的部分在main.m开头 第二部分： 单机器人部分：提供了两个地图的示例，test1.m和test2.m 双机器人部分：思路是设置不同的起始点，把单机器人部分连续跑两遍，同时判断不会相撞的条件是计算交叉点处是否有时间差
pengyang97/path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
pengyang97/PathPlanning-1
Path Planing in Automated Housewares
pengyang97/Python-Core-50-Courses
Python语言基础50课
pengyang97/PythonRobotics
Python sample codes for robotics algorithms.
pengyang97/ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
pengyang97/stepback_recovery
ROS recovery behavior for robot to step_back meters.