- Do some internet research on why the AI engine was named Mycroft. How many different stories did you turn up,and which one did you like?
- In the discussion of intent, how would you design a neural network to predict command intent from natural language sentences?
- Rewrite the "Receive knock-knock jokes" to remember the jokes told to the robot by adding them to the joke database used by the "tell Knock Knock jokes" program. Is this machine learning?
- Modify the "tell Jokes" program to play sounds from a wave file, such as a music clip, as well as doing text to speech.
- The sentence structure used in this chapter is all based on English grammar. Other languages, such as French and Japanese, have different structures. How does that change the parsing of sentences? Would our program we wrote be able to understand Yoda?
- Do you think that Mycroft...
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.
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Current Title:
Artificial Intelligence for Robotics
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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