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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

Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms

This chapter is where the robots start to get challenging – and fun. What we want to do now is have the robot’s manipulator arm start picking up objects. Not only that, but instead of preprogramming arm moves and grasping actions, we want the robot to be able to learn how to pick up objects, and how to move its arm without hitting itself.

How would you teach a child to pick up toys in their room? Would you offer a reward for completing the task, such as “If you pick up your toys, you will get a treat?” Or would you offer a threat of punishment, such as “If you don’t pick up your toys, you can’t play games on your tablet.” This concept, offering positive feedback for good behavior and negative feedback for undesirable actions, is called reinforcement learning. That is one of the ways we will train our robot in this chapter.

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