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ROS Robotics Projects,

You're reading from   ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838649326
Length 456 pages
Edition 2nd Edition
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Author (1):
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Ramkumar Gandhinathan Ramkumar Gandhinathan
Author Profile Icon Ramkumar Gandhinathan
Ramkumar Gandhinathan
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Introduction to ROS-2 and Its Capabilities 3. Building an Industrial Mobile Manipulator 4. Handling Complex Robot Tasks Using State Machines 5. Building an Industrial Application 6. Multi-Robot Collaboration 7. ROS on Embedded Platforms and Their Control 8. Reinforcement Learning and Robotics 9. Deep Learning Using ROS and TensorFlow 10. Creating a Self-Driving Car Using ROS 11. Teleoperating Robots Using a VR Headset and Leap Motion 12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos 13. Other Books You May Enjoy

Summary

In this chapter, a simple analogy was taken and split into smaller chunks and we saw how to use ROS to do the same. Initially, a feedback-based messaging system was introduced and showed us how effective it is compared to topics and services. Later, we learned how to create such messaging mechanisms. Then, we learned how the robot can handle complex tasks and perform the same by defining the smaller chunks as states and run these states in sequences, concurrently, iteratively, and in a nested manner. We shall make use of the knowledge we acquired in this chapter and the previous one to learn how to actually implement a robot application.

In the next chapter, we will learn how to build an industrial application using state machines and the robot we created in the previous chapter.

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