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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 looked at how to make use of Leap Motion sensors and VR headsets in Ubuntu with ROS. Additionally, we looked at how to set up the Leap Motion sensor in ROS and make use of a VR headset to visualize data in RViz. Later, we created a custom teleoperation node to help teleoperate a mobile robot in Gazebo using hand gestures that were recognized by the Leap Motion sensor. We also examined how to visualize the Gazebo environment using the VR headset. Using these skills, you could also manually control a real mobile robot, by only using hand gestures and especially those that are not in direct human vicinity.

In the next chapter, we will demonstrate how to detect and track a face in ROS.

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