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Artificial Intelligence for Robotics

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

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129592
Length 344 pages
Edition 2nd Edition
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Author (1):
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Francis X. Govers III Francis X. Govers III
Author Profile Icon Francis X. Govers III
Francis X. Govers III
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Table of Contents (18) Chapters Close

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 16. Other Books You May Enjoy Appendix

Playing the emotion game

So, what exactly is this game? What we want the robot to do is ask questions of another person and to use conversation to get personal information out of them so that the robot then can use that information in replies. In this game, the robot will be trying to score points by getting the human to interact socially. The robot will gain points by getting information from the person so that it can get to know them better. The trick for us is we need the robot to keep this information and remember it. We will be saving all this information and using it to modify the actual code the robot is running, thus implementing machine learning (ML) into the conversation. The robot will be using the same type of point-reward system we used in training the robot arm back in a previous chapter. Once the robot has scored by learning a fact, it will no longer get rewarded for that fact and will go on to get other facts. Once it has learned all the facts, it will end the conversation...

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