- Given that we started the chapter with knock-knock jokes and ended up taking about robot phobia and philosophical questions about existence, do you feel that AI is a threat, and why?
- List five professions that would be necessary to turn our Tinman robot into a product company.
- Why would our imaginary Tinman robot company need a psychologist?
- What components found in cell phones or smartphones are also found in quadcopters?
- Why are artificial intelligence systems, specifically artificial neural Networks, naturally non-deterministic in both result and in time?
- What might be a practical application of an AI system that predictably makes mistakes?
- If an AI system was picking stocks for you, and predicted a winning stock 43% of the time, and 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...
Artificial Intelligence for Robotics
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Artificial Intelligence for Robotics
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Overview of this book
Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills.
As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks.
By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Table of Contents (13 chapters)
Preface
Free Chapter
Foundation for Advanced Robotics and AI
Setting Up Your Robot
A Concept for a Practical Robot Design Process
Object Recognition Using Neural Networks and Supervised Learning
Picking up the Toys
Teaching a Robot to Listen
Avoiding the Stairs
Putting Things Away
Giving the Robot an Artificial Personality
Conclusions and Reflections
Assessments
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