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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

Multi-Robot Collaboration

In the previous chapters, we have seen how to build a robot and simulate it in ROS. We also learned how to make our robot base autonomous and our robot arm intelligent enough to move to a pose in the environment. We also covered the waiter robot analogy (defined in Chapter 4, Handling Complex Robot Tasks Using State Machines), where we used multiple robots to collectively communicate between each other and serve customers, and using more robots to deliver products to houses (an application we defined in the previous chapter).

In this chapter, we will learn how to bring multiple robots into a simulation environment and establish communication between them. You will be introduced to a few methods and workarounds in ROS regarding how to differentiate between multiple robots and communicate effectively between them. You will also see the issues that arise...

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