Intro to ROS2
Build an autonomous museum-guide robot from scratch in ROS2. Set up a Gazebo world, learn the fundamentals — nodes, topics, TF — then write the robot's brain: it reads a LiDAR, avoids obstacles, and drives itself through the museum. Finish by packaging and publishing your project to share.
What You'll Be Able to Do
- Develop robotics applications with ROS2 — nodes, topics, pub/sub, TF, and CLI tooling
- Build and test robots in simulation using Gazebo worlds and models
- Structure, configure, and package ROS2 code with launch files, parameters, and bags
- Debug and visualize live robot data with Foxglove and ros2 bag replay
Skills You'll Learn
Prerequisites
Course Roadmap
8 modules · 45 lessonsRobots, Models & Worlds used in this course
Turtlebot3 Burger
The TurtleBot3 Burger is the entry-level platform in ROBOTIS's TurtleBot3 family — a compact differential-drive robot widely used for ROS 2 education, SLAM, and navigation. It carries a 360° LDS-01 laser scanner on a two-wheel chassis with a single caster, making it a clean, minimal target for learning the full ROS 2 stack without the complexity of arms or extra sensors.
ISCAS Museum
The ISCAS Museum is an indoor Gazebo model of a multi-room museum hall — open central spaces connected by narrow corridors, with textured walls and floor. It's a static structure you spawn into a world, built as a navigation and mapping testbed: small enough to map quickly with a lidar, but with enough geometry (corners, doorways, dead ends) to exercise SLAM loop closure, costmap inflation, and global planners.