Book Image

Artificial Intelligence for Robotics

By : Francis X. Govers III
Book Image

Artificial Intelligence for Robotics

By: Francis X. Govers III

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)

Questions

  1. What is your favorite movie robot? How would you describe its personality?
  2. What techniques did the movie-makers use to express that robot's personality (body language, sounds, and so on)?
  3. What are the two types of chatbots? List some of the strengths and weaknesses of each.
  4. In the diagram on modeling custom distributions (the airport example), the bottom picture shows two standard distributions and two uniform distributions. Why don't the curves go all the way to the top of the graph?
  5. Design your own robot emotions. Pick six contrasting emotions that can express the entire range of your robot's personality. Why did you pick those?
  1. If you were designing a robot to have the personality of an annoying little boy (think Bart Simpson, Cartman, or Dennis the Menace, if you are that old), what traits would it have?
  2. Why is it important for the robot to...