Book Image

Artificial Intelligence for Robotics

By : Francis X. Govers
Book Image

Artificial Intelligence for Robotics

By: Francis X. Govers

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)

Technical requirements

This unit does not require new software from the previous chapter. We will be using Python with NumPy, the matplotlib library to make plots and graphs, and the pickle library to store data.

A robot and a robot arm would be helpful, but all of the functions we will learn in this chapter can also be performed via simulation and modeling, which are included in the examples.

Check out the following video to see the Code in Action:
http://bit.ly/2wupSdD