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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, we saw the differences between a microcontroller, a microprocessor, and a single-board computer. After understanding their differences, we looked at the boards that are commonly used by the robotics community. Also, we covered how to use such boards with ROS and take control of their GPIOs to control external peripherals such as motors or sensors. We looked at different types of GPU boards that have a good advantage over normal SBCs. To select a suitable embedded board for any application, it's suggested that you try out benchmarking, where we can choose boards based on test results. We also learned how to create a skill with Alexa and connect it with ROS. This chapter helped us to install ROS and exploit its hardware capabilities for robot applications.

In the next chapter, we will learn how to provide intelligence to our robot through a well-known...

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