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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

Task analysis

Our tasks for this chapter are pretty straightforward. We will use a robot arm to pick up the toys we identified in the previous chapter. This can be divided into the following tasks:

  • First, we build an interface to control the robot arm. We are using ROS 2 to connect the various parts of the robot together, so this interface is how the rest of the system sends commands and receives data from the arm. Then we get into teaching the arm to perform its function, which is picking up toys. The first level of capability is picking up or grasping toys. Each toy is slightly different, and the same strategy won’t work every time. Also, the toy might be in different orientations, so we have to adapt to how the toy is presented to the robot’s end effector (a fancy name for its hand). So rather than write a lot of custom code that may or may not work all the time, we want to create a structure so that the robot can learn for itself.
  • The next problem we face...
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