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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

Exploring alternative navigation techniques

In this section, we’ll look at some potential alternative methods for navigation that we could use for our robot now that we’ve ruled out the SLAM methodology:

  • We could just drive around randomly, looking for toys. When we find a toy, the robot picks it up and then drives around randomly looking for the toy box. When it sees the toy box, it drives up to it and deposits the toy. But we still need a method to avoid running over obstacles. We could follow a process called structure from motion (SfM) to get depth information out of our single camera and use that to make a map. Structure from motion requires a lot of textures and edges, which houses may not have. It also leaves lots of voids (holes) that must be filled in the map. Structure from motion uses parallax in the video images to estimate the distance to the object in the camera’s field of view. There has been a lot of interesting work in this area, and I...
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