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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

Multiple robot communication in ROS

The ROS system is a distributed computing environment that can run several nodes—not just on a single machine, but on multiple machines that communicate with each other, provided they are on the same network. This is advantageous in robotics applications as certain sensors demand sophisticated machines.

For instance, if we have a mobile robot that understands the environment through its sensors, such as ultrasonic sensors and cameras, it may need a simple processor that communicates serially with the microcontroller that the ultrasonic sensor is connected to. But a sensor such as a camera may need a more sophisticated processor for processing camera information. Instead of using high-end compute hardware, which is generally costly and sometimes bigger in form, we could make use of cloud services such as AWS or Google Cloud for processing...

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