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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 understood how a robot can be defined, modeled, and simulated in ROS with the help of Gazebo. We defined the robot's physical characteristics through plugins that were available in Gazebo. We began with creating a robot base, created a five DOF robot arm, and finally, put them together to create a mobile manipulator. We simulated the robot in Gazebo to understand how a robot application could be defined in ROS. This chapter helped us understand the use of robots in industries.

With this understanding, let's move on to the next chapter, where we will learn how the robot can handle complex tasks. Then, we will learn how to create a robot application in ROS and simulate it in Gazebo.

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