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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. Given that we started the chapter on a light note and ended up talking about robot phobia and philosophical questions about existence, do you feel that AI is a threat? Why or why not?
  2. List five professions that would be necessary to turn our Albert robot into a product company.
  3. If we imagine a company that was going to put Albert the robot into production, would it need a psychologist? For the robot, or for the humans?
  4. What components found in cell phones or smartphones are also found in quadcopters?
  5. Why are AI systems, specifically ANNs, naturally non-deterministic in terms of results and time?
  6. What might be a practical application of an AI system that predictably makes mistakes?
  7. If an AI system was picking stocks for you and predicted a winning stock 43% of the time, and then you had a second AI that was 80% accurate at determining when the first AI had not picked a good stock, what percent of the time would the AI combination pick a profitable...
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