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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

Deep Learning Using ROS and TensorFlow

You may have come across deep learning many times on the web. Most of us are not fully aware of this technology, and many people are trying to learn it too. So, in this chapter, we are going to see the importance of deep learning in robotics and how we can implement robotics applications using deep learning and ROS. We begin with understanding how deep learning works and is implemented, followed by a glimpse of commonly used tools and libraries for deep learning. We will learn to install TensorFlow for Python and embed TensorFlow APIs in ROS. We will learn to carry out image recognition using ROS and TensorFlow. Later, you will come across practical examples using these libraries and interfacing them with ROS.

Here are the main topics we are going to discuss in this chapter:

  • Introducing deep learning and its applications
  • Deep learning for...
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