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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, you learned how to make your mobile robot intelligent. You were introduced to sensor plugins and how to configure the navigation stack for autonomous localization. You were also introduced to inverse kinematics concepts for controlling the robot arm. In the end, both of the preceding concepts were combined to create an application that can deliver packages in a neighborhood for better understanding. In this chapter, we were introduced to an actual industrial application where we learned how to use ROS-based robots. We acquired certain useful skills while simulating the application to learn how the robot is capable of handling intricate tasks using state machines.

In the next chapter, you will learn how to work with multiple robots at the same time for a robotics application.

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