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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

Simulating the application

Now, everything is set for the final demonstration. We have a robot base that can move autonomously in the environment and the arm can move to any location that we define it to go to. So, to run our application, we need to perform the following steps:

  1. Map and save the environment.
  2. Choose the points on the environment.
  3. Add the points to our library.
  4. Define the respective states.
  5. Complete the state machine.

Let's look at these steps in detail.

Mapping and saving the environment

Follow these steps to map and save the environment:

  1. The first step is to make the robot understand the environment. For this, we use an open source mapping technique we saw in the Making our robot arm intelligent section...
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