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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

Making our robot base intelligent

Let's begin by making our robot base autonomous or intelligent. Our robot base needs to understand the environment and move around the environment with ease. We shall do this using Simultaneous Localization And Mapping (SLAM). SLAM has been a research problem for almost a decade but ROS has good open source packages that can help us map and localize the robot in an environment. We shall add the necessary sensors to the robot, configure the available ROS packages, and make the robot maneuver autonomously in the environment. Let's start by adding the laser sensor.

Adding a laser sensor

To make the robot understand the environment, we shall make use of a laser scanner sensor. A laser...

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