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)

Technical requirements

This chapter using the following tools:

  • Mycroft Open Source Voice Assistant (http://mycroft.ai) – I had to build it from source from the GitHub repository, so expect to do the same to keep it compatible with the ROS (Robotics Operating System) we run the robot with.
  • Python 3.2 (but you should be able to make 2.7 work as well).
  • You will need a Git account at https://github.com/.
  • I used the Google DIY Voice Kit (https://aiyprojects.withgoogle.com/voice), which provided a very nice set of speaker and stereo microphones for the Raspberry Pi. We will be using the hardware only.

Check out the following video to see the Code in Action:
http://bit.ly/2MXj2HS