计算机科学与机器人学——边做边学！从 Linux 到 ROS 2

本课程提供一条从零基础直达机器人前沿的沉浸式实践路径，核心目标是掌握构建、仿真和部署现代机器人所需的完整工具链：Linux、Docker、ROS 2和Git。课程严格遵循“在做中学”的理念，您将首先掌握Linux命令行、Git版本控制、Docker容器和VS Code等核心开发工具，随后立即在机器人项目中应用它们。例如，您将按照机器人领域的最佳实践，在Docker容器中搭建完整的ROS 2开发环境，并使用VS Code进行编码和调试，从而避免操作系统冲突。通过一步步编写ROS 2节点、控制主题与服务，您将先在仿真中、然后在实体机器人上进行实践，完成从虚拟测试到现实应用的闭环。这种方式确保理论概念即刻转化为可运行的机器人演示，让知识真正深入人心。课程最终将使您具备应对现代机器人挑战的信心与能力，并通过构建一系列真实项目（从搭建基于Linux和Docker的开发环境，到在实体机器人上运行ROS 2代码）来巩固所学。

制作人：Antonio Brandi、Jonathan Cacace
MP4格式 | 视频：h264，1280×720 | 音频：AAC，44.1 kHz，2声道
级别：初级 | 类型：在线学习 | 语言：英语 | 时长：111节课（15小时46分钟） | 文件大小：9.6 GB

Computer Science & Robotics – Learn by Doing! Linux to ROS 2。Master Linux, Docker, ROS 2, and Git — the essential toolkit to build, simulate, and deploy modern robots. Dive into an immersive, hands-on journey from foundational computing to cutting-edge robotics. In this course, you’ll master essential developer tools (Linux command line, Git for version control, Docker containers, and VS Code IDE) and then apply them directly to robotics with ROS 2. We follow a learning-by-doing philosophy – “Learning is an active process. We learn by doing, only knowledge that is used sticks in your mind.” – so you’ll build real projects at every step. For example, you’ll set up a complete ROS 2 workspace on Linux inside a Docker container (as recommended by robotics best practices) and use Visual Studio Code to code and debug without worrying about OS conflicts. Step by step, you’ll write ROS 2 nodes and control topics and services, first in simulation and then on a physical robot – closing the loop between virtual testing and real-world application. This way, theoretical concepts immediately turn into working robot demos, ensuring the new skills truly stick in your mind.What you will learnLinux & Dev Environment: Navigate the Linux terminal, install packages, and configure a developer setup on Ubuntu. You’ll use the terminal to interact with the filesystem, schedule tasks, and automate tasks with bash scripts, just as professional robotics engineers do.Containerized Workflows: Use Docker to create isolated, reproducible development environments. You will learn how to download and use thousands of Docker Images available on Docker Hub and how to create your own custom images with Dockerfile.Master Git, the professional Version Control System: Use Git and Github to track, commit and manage your code like a pro. Software Development is all about collaboration and community! You’ll learn how to use Git and Github to collaborate with others, create branches, forks, and pull requests.IDEs for Robotics Development: You will explore various Integrated Development Environments that will help you develop new cool features for your robot, streamlining your coding workflow.ROS 2 Core Concepts: Learn ROS 2 fundamentals by writing your own nodes in Python or C++, publishing/subscribing to topics, calling services, and handling actions. Each concept is reinforced with practical examples and experiments on a simulated robot, following the “learn by doing” approach.Simulation & Gazebo: Build a robot model and test its behavior in Gazebo simulation. You’ll practice digital twin techniques and see how changes in your code immediately affect the virtual robot, mirroring techniques from successful robotics courses.Deploy to Real Robot: Transfer your simulation code to hardware. You’ll connect sensors and actuators, run your ROS 2 nodes on a real robot, and observe your software come to life in the real world. This completes the cycle of learning – from code to simulated testing to actual robot control.By the end of this course, you’ll have a portfolio of real-world projects: from setting up Linux-based dev environments with Docker to running ROS 2 on physical robots. On the way, you will master Git as a collaboration tool and as a time machine that will let you go back in time to previous versions of your code.You’ll gain the confidence and skills to tackle modern robotics challenges – learning by building and experimenting every step of the way.
What you’ll learn
Linux for Robotics
Mastering ROS2, the latest version of the Robot Operating System
Navigate the Linux filesystem and manage permissions
Use Linux commands for text editing, networking, and automation
Build and run scripts to automate tasks in Linux
Install and manage Docker containers and images
Create, share, and optimize Dockerfiles and Compose setups
Integrate Docker with GPU support and local registries
Master Git basics, workflows, branching, and rebasing
Collaborate using GitHub and automate tasks with Git Actions
Configure and use Visual Studio Code with extensions
Install and explore ROS 2 architecture, topics, services, and actions
Create and manage ROS 2 workspaces and packages
Simulate robots with Gazebo and visualize data in RViz
Deploy and test code on a real robot using ROS 2 tools

Requirements
NO prior knowledge of ROS or ROS 2 is required
NO prior knowledge of Robotics theory is required
A System to Practice On: Access to a computer (Windows, Mac, or Linux) to run Linux simulations or installations. We will install everything required together – you pretty much just need a few GB of extra storage
NO prior programming knowlege is required
A reliable Internet connection