How to Teach the Robot Transform Tree

In this video, you'll see how to teach the Robot Transform Tree.

Robot Kit Used (including the environment): BotBox Robot Teaching Kit: https://www.theconstruct.ai/botbox-warehouse-lab/

A robot sees the world from many viewpoints at once — the laser from where it’s mounted, the wheels from the robot’s centre, the map from where it started. Acting on something the laser spotted means translating between these viewpoints. You could do that math by hand every time; this class shows why you shouldn’t, and how to let ROS 2 track it all for you instead.

Learning Points:
✅ See how a robot is really a stack of viewpoints that ROS 2 stitches into one tree it can query anytime.

✅ Inspect and query that tree from the command line to see where each part of the robot sits.

✅ Write a node that pins a laser-spotted target in the world, then re-expresses it from the robot’s own viewpoint as it drives toward it.

✅ Run the same setup unchanged on both the simulated and the real robot.


📁 *ROS project link: https://app.theconstruct.ai/l/7507788f/


Related courses:
* C++ for Robotics (Free): https://app.theconstruct.ai/courses/c-for-robotics-59/
* ROS2 Basics in 5 Days (C++): https://app.theconstruct.ai/courses/ros2-basics-in-5-days-c-325/
* ROS2 Navigation: https://app.theconstruct.ai/courses/ros2-navigation-humble-148/


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[For Robotics Teachers Open Class], a weekly series of videos by The Construct Robotics Institute, aims to make robotics education easier by helping teachers teach a wide range of robotics topics through hands-on practice.

Each session provides a ROS-based project (referred to as ROSJECTs 🦾 📁) for all attendees, including notebooks, code, and robot simulations. Led by ROS expert Desire, you'll see how robotics teaching and hands-on practice come together in real time.


We're excited to share this series with you! If you have questions or want to explore new topics, drop us a comment below.

👨‍🏫 Class Creator: Desire (ROS Tutor @The Construct Robotics Institute )



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#ai #robotics #ros #robot #ros2