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. Name three types of robot sensors.
  2. What does the acronym PWM stand for?
  3. What is analog-to-digital conversion? What goes in and what comes out?
  4. Who invented the subsumption architecture?
  5. Compare my diagram of the three-layer subsumption architecture to the Three Laws of Robotics postulated by Isaac Asimov. Is there a correlation? Why is there one, or why not?
  6. Do you think I should have given our robot project – TinMan – a name? Do you name your robots individually, or by model?
  7. What is the most important environment variable in ROS?