Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Mastering ROS for Robotics Programming, Third edition - Third Edition

You're reading from  Mastering ROS for Robotics Programming, Third edition - Third Edition

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801071024
Pages 594 pages
Edition 3rd Edition
Languages
Concepts
Authors (2):
Lentin Joseph Lentin Joseph
Profile icon Lentin Joseph
Jonathan Cacace Jonathan Cacace
Profile icon Jonathan Cacace
View More author details

Table of Contents (22) Chapters

Preface 1. Section 1 – ROS Programming Essentials
2. Chapter 1: Introduction to ROS 3. Chapter 2: Getting Started with ROS Programming 4. Section 2 – ROS Robot Simulation
5. Chapter 3: Working with ROS for 3D Modeling 6. Chapter 4: Simulating Robots Using ROS and Gazebo 7. Chapter 5: Simulating Robots Using ROS, CoppeliaSim, and Webots 8. Chapter 6: Using the ROS MoveIt! and Navigation Stack 9. Chapter 7: Exploring the Advanced Capabilities of ROS MoveIt! 10. Chapter 8: ROS for Aerial Robots 11. Section 3 – ROS Robot Hardware Prototyping
12. Chapter 9: Interfacing I/O Board Sensors and Actuators to ROS 13. Chapter 10: Programming Vision Sensors Using ROS, OpenCV, and PCL 14. Chapter 11: Building and Interfacing Differential Drive Mobile Robot Hardware in ROS 15. Section 4 – Advanced ROS Programming
16. Chapter 12: Working with pluginlib, nodelets, and Gazebo Plugins 17. Chapter 13: Writing ROS Controllers and Visualization Plugins 18. Chapter 14: Using ROS in MATLAB and Simulink 19. Chapter 15: ROS for Industrial Robots 20. Chapter 16: Troubleshooting and Best Practices in ROS 21. Other Books You May Enjoy

Using aerial robots

At present, flying vehicles are very popular. Even in their primary configuration where they are controlled by a radio controller, some flying vehicles can be considered as robots that respond to their environment in order to stay in the air. Such vehicles can use external sensors to estimate their state and pose, thus allowing them to fly autonomously. Of course, providing a flying robot with autonomy is more complicated than doing the same for a ground robot because of several reasons, listed here:

  • Stabilization: A flying robot must be able to adjust its pose to hold its position and orientation relative to the environment. Inertial sensors are not enough to accomplish this task, since they are not able to estimate position divergence caused by external disturbances (like wind or ground airflow), or the possible errors generated due to an inertial measurement unit sensor.
  • Low computation resources: Compared to a ground robot, flight platforms have...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}