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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

Handling Complex Robot Tasks Using State Machines

Robots are machines that need to understand the environment in order to perform any action the application demands. They sense the environment through a variety of sensors to the very last detail, after which they compute the logic through their compute systems and convert them into necessary control actions. To be more practical, while computing such logic, they're also supposed to take care of other factors that would affect their actions.

In this chapter, we shall look at how state machines are helpful in robotics and ROS. You will understand the fundamentals of state machines, be introduced to tools that handle tasks with feedback mechanisms, such as actionlib, and be introduced to ROS state machine packages called executive_smach. You will be introduced to writing examples in actionlib and state machines, which will...

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