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Artificial Intelligence for Robotics - Second Edition

You're reading from  Artificial Intelligence for Robotics - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129592
Pages 344 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Francis X. Govers III Francis X. Govers III
Profile icon Francis X. Govers III

Table of Contents (18) Chapters

Preface 1. Part 1: Building Blocks for Robotics and Artificial Intelligence
2. Chapter 1: The Foundation of Robotics and Artificial Intelligence 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

Chapter 8

  1. What are the three ways to traverse a decision tree?

    From beginning to end (start to goal); from goal to start; and from both ends at once to meet in the middle.

  2. In the fishbone diagram example, how do you go about pruning the branches of the decision tree?

    By eliminating the effect of the item on a branch. For example, using our “robot does not move” fault, if the branch says “Arduino-no power” and you check to see if the Arduino has power and it does, you can prune that branch. If the branch is “motor stuck”, the effect of having a motor stuck is that the robot will drive in circles. As the robot is not driving in circles – it is not driving at all – you can prune that branch.

  3. What is the role of the Gini coefficient in creating a classification?

    It determines the amount of impurity in the sample or pool. When the Gini coefficient = 0, all of the members of the class have the same attributes, and no further...

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