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Mastering ROS 2 for Robotics Programming

You're reading from   Mastering ROS 2 for Robotics Programming Design, build, simulate, and prototype complex robots using the Robot Operating System 2

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Product type Paperback
Published in Jul 2025
Publisher Packt
ISBN-13 9781836209010
Length 576 pages
Edition 4th Edition
Concepts
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Authors (2):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Jonathan Cacace Jonathan Cacace
Author Profile Icon Jonathan Cacace
Jonathan Cacace
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Toc

Table of Contents (22) Chapters Close

Preface
1. Part I: ROS 2 Programming and Simulation
2. Introduction to ROS 2 FREE CHAPTER 3. Getting Started with ROS 2 Programming 4. Implementing ROS 2 Concepts 5. Working with Robot 3D Modeling in ROS 2 6. Simulating Robots in a Realistic Environment 7. Part II: ROS 2 Applications: Navigation, Manipulation, and Control
8. Controlling Robots Using the ros2_control Package 9. Implementing ROS 2 Applications Using BehaviorTree.CPP 10. ROS 2 Navigation Stack: Nav2 11. Robot Manipulation Using MoveIt 2 12. Working with ROS 2 and Perception Stack 13. Part III: Advanced Applications and Machine Learning
14. Aerial Robotics and ROS 2 15. Designing and Programming a DIY Mobile Robot from Scratch 16. Testing, Continuous Integration, and Continuous Deployment with ROS 2 17. Interfacing Large Language Models with ROS 2 18. ROS 2 and Deep Reinforcement Learning 19. Implementing ROS 2 Visualization and Simulation Plugins 20. Other Books You May Enjoy
21. Index

Deploying an RL model in the Spot robot from Boston Dynamics

In this section, we will see a sample project that trains, tests, and deploys an RL model in Boston Dynamics’ Spot robot. Figure 15.12 shows the training pipeline using Isaac Lab and Isaac Sim.

Figure 15.12: Training of Spot robot in simulation for locomotion (source: https://developer.nvidia.com/)

Figure 15.12: Training of Spot robot in simulation for locomotion (source: https://developer.nvidia.com/)

The task they are trying to do is robot locomotion. If we give the velocity command, the robot should move based on it.

After training on the locomotion task in Isaac Sim, Figure 15.13 shows the testing and deployment of the model on actual hardware.

Figure 15.13: Testing of the trained model on actual Spot robot (source: https://developer.nvidia.com/)

They used Jetson Orin as the computer and read the sensor state using their APIs. We can also use ROS 2 or Isaac ROS to get the robot’s sensor state. The command to the robot is the velocity command from the user using a joystick. The actions...

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