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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

Creating a model of human behavior

For the robot to support conducting a conversation, we must also have a model of how the human it is talking to is feeling. You may have had a friend or relation who went on talking about themselves and were oblivious to how you were feeling or reacting to their conversation. We don’t want that type of robot personality. Therefore, the robot has to have some internal representation of how it thinks you are feeling. We will not be using vision for this function, so the only way the robot knows how you are doing is by asking questions and evaluating the use of language.

We will give the robot a human model similar to our state machine but with just four emotions on two axes: happy/sad and friendly/distant. The robot will assume that everyone is somewhere in the middle when the conversation begins. The robot can use clues in language to understand how you might be feeling, so we will assign colors or shades of emotions to words to help drive...

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