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所在平台: Udemy |
课程主页: https://www.udemy.com/course/robotics-with-ros-real-robot-using-raspberry-pi-and-opencv/
课程评论：没有评论
课程名称：使用树莓派的ROS 2人工智能机器人 课程概述：本课程将ROS从Kinetic更新至Foxy版本，现有的评价基于早期版本，新的项目与解释方式将带给你全新体验！本课程面向移动机器人，主要是利用两个轮子的差动驱动及一个滑轮。首先，我们将使用3D打印的部件构建机器人，并详细讲解所有电子元件的连接。树莓派4将作为机器人的核心。课程将同时利用ROS 2 Foxy和Humble，并实现笔记本与树莓派之间的WiFi通信。我们将探讨图像数据传输与带宽优化，以支持计算机视觉项目。 课程内容包括： - ROS 2工作区和树莓派设置 - 机器人构建及使用操纵杆驱动 - 使用OpenCV解决QR迷宫 - 实时和模拟机器人的跟线功能 - 基于Tensorflow Lite的AI监控机器人 课程成果： 完成本课程后，学员将能够创建自定义工作区、自定义Python包以及启动文件，开发自定义移动机器人，以及掌握ROS 2与仿真集成、RVIZ与Gazebo仿真基础知识、使用OpenCV进行计算机视觉和在ROS 2基础节点上实现深度神经网络的能力。 软件要求：Ubuntu 22.04、ROS 2 Foxy以及对大型编程项目的浓厚兴趣。 请在购买前查看本课程的GitHub库。
Course Updated ROS Kinetic to ROS 2 Foxy:Rating is for OLD version of this course , New update to projects and way of explanation is what you are going to love:)Course Workflow:This Course is for mobile robot which is a 2 wheel differential drive with a caster . We will First build the robot using 3D printed parts. All electronics is going to be explained for proper connections.Raspberry Pi 4 is going to be main brain for this robot. ROS2 foxy and humble both are going to be utilized using this course. WiFi Communication between laptop and Raspberry Pi will be done. We will look into image data transmission and bandwidth optimization for our computer vision based projects. Sections :ROS2 Workspace Raspberry pi Setup Robot Building and Driving with JoystickQR Maze Solving using OpenCVLine Following Real and Simulation RobotAI Surveillance Robot using Tensorflow LiteOutcomes After this Course: You can create Custom Workspace Custom Python PackagesLaunch filesCustom Mobile RobotsROS 2 Robot and Simulation integrationRVIZ and Gazebo Simulation Fundamentals Computer Vision with ROS 2 using OPENCVDeep Neural Networks on ROS 2 based Nodes Software Requirements Ubuntu 22.04ROS 2 FoxyMotivated mind for a huge programming Project----------------------------------------- Before buying take a look into this course GitHub repository
