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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

Introduction to ROS actions

Let's start this section with an example. Let's assume there's a restaurant that uses robots as its waiters to help serve food to customers. Let's say that once the customer has taken their seat, they call the waiter by pressing a simple button on their table. The waiter robot understands the call and navigates to the table, takes the order from the customer, goes to the kitchen to place the order to the chef, and delivers the food to the customer once food is ready. Here, the robot tasks are to navigate to the customer's place, take the order, go to the kitchen, and bring food back to the customer.

A typical approach would be to define a script with multiple functions for individual tasks, put them together through a series of condition or case statements, and run the application. Well, the application might work as expected...

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