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)

A systems engineering-based approach to robotics

When you set out to create a complex robot, with artificial intelligence-based software, you can't just jump in and start slinging code and throwing things together without some sort of game plan as to how the robot goes together and how all the parts communicate with one another. We will discuss a systematic approach to robot design based on systems engineering principles. We will be learning about use cases and storyboards as a technique to understand what we are building and what parts are needed.

Our task – cleaning up the playroom

We have already talked a bit about our main task for Tinman, our robot example for this book, which is to clean up the playroom...