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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

Questions

  1. What are the three ways to traverse a decision tree?
  2. In the fishbone diagram example, how does one go about pruning the branches of the decision tree?
  3. What is the role of the Gini evaluator in creating a classification?
  4. In the toy classifier example using Gini indexing, which attributes of the toy were not used by the decision tree? Why not?
  5. Which color for the toys was used as a criterion by one of the classification techniques we tried?
  6. Give an example of label encoding and one-hot encoding for menu items at a restaurant.
  7. In the A* algorithm, discuss the different ways that G() and H() are computed.
  8. In the A* algorithm, why is H() considered a heuristic and G() is not? Also, in the D* algorithm, heuristics are not used. Why not?
  9. In the D* algorithm, why is there a RAISED and LOWERED tag and not just a CHANGED flag?
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