Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying ROS Robotics Projects
  • Table Of Contents Toc
ROS Robotics Projects

ROS Robotics Projects - Second Edition

By : Ramkumar Gandhinathan, Lentin Joseph
2.3 (3)
close
close
ROS Robotics Projects

ROS Robotics Projects

2.3 (3)
By: Ramkumar Gandhinathan, Lentin Joseph

Overview of this book

Nowadays, heavy industrial robots placed in workcells are being replaced by new age robots called cobots, which don't need workcells. They are used in manufacturing, retail, banks, energy, and healthcare, among other domains. One of the major reasons for this rapid growth in the robotics market is the introduction of an open source robotics framework called the Robot Operating System (ROS). This book covers projects in the latest ROS distribution, ROS Melodic Morenia with Ubuntu Bionic (18.04). Starting with the fundamentals, this updated edition of ROS Robotics Projects introduces you to ROS-2 and helps you understand how it is different from ROS-1. You'll be able to model and build an industrial mobile manipulator in ROS and simulate it in Gazebo 9. You'll then gain insights into handling complex robot applications using state machines and working with multiple robots at a time. This ROS book also introduces you to new and popular hardware such as Nvidia's Jetson Nano, Asus Tinker Board, and Beaglebone Black, and allows you to explore interfacing with ROS. You'll learn as you build interesting ROS projects such as self-driving cars, making use of deep learning, reinforcement learning, and other key AI concepts. By the end of the book, you'll have gained the confidence to build interesting and intricate projects with ROS.
Table of Contents (14 chapters)
close
close

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...
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
ROS Robotics Projects
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon