You're reading from Artificial Intelligence for Robotics Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks

Product type Paperback

Published in Mar 2024

Publisher Packt

ISBN-13 9781805129592

Length 344 pages

Edition 2nd Edition

Languages

Python

Tools

OpenCV

Concepts

Artificial Intelligence

Author (1):

Francis X. Govers III

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Table of Contents (18) Chapters

Preface

1. Part 1: Building Blocks for Robotics and Artificial Intelligence

2. Chapter 1: The Foundation of Robotics and Artificial Intelligence FREE CHAPTER

3. Chapter 2: Setting Up Your Robot

4. Chapter 3: Conceptualizing the Practical Robot Design Process

5. Part 2: Adding Perception, Learning, and Interaction to Robotics

6. Chapter 4: Recognizing Objects Using Neural Networks and Supervised Learning

7. Chapter 5: Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms

8. Chapter 6: Teaching a Robot to Listen

9. Part 3: Advanced Concepts – Navigation, Manipulation, Emotions, and More

10. Chapter 7: Teaching the Robot to Navigate and Avoid Stairs

11. Chapter 8: Putting Things Away

12. Chapter 9: Giving the Robot an Artificial Personality

13. Chapter 10: Conclusions and Reflections

14. Answers

15. Index

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16. Other Books You May Enjoy

Appendix

Part 1: Building Blocks for Robotics and Artificial Intelligence

The first section of this book begins with the foundations of robotics and Artificial Intelligence (AI), covering what AI is and how it is used. Then we start to define our robot systems and talk about control. In the second chapter, we look at robot anatomy, the parts of a robot, and discuss autonomy principles and the Subsumption Architecture concept. You'll get a primer on the Robotics Operating System (ROS) and our single-board supercomputer. Finally, we show a systematic process for robot design using systems engineering principles and storyboards.

This part has the following chapters: