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

  • Python 2.7 or 3.5 with numpy, scipy, matplotlib, and scikit-learn installed.
  • Robotics Operating System (ROS) Kinetic Kame.
  • A computer running Linux for development or a virtual machine running Linux under Windows. Ubuntu 16.04 is used for the examples and illustrations.
  • Raspberry Pi 3 or a similar single board computer (BeagleBone Black, Odroid, or similar). We are not using the GPIO or special interfaces on the Pi3.
  • An Arduino Mega 2560 microcontroller.

The repository for the source code in this chapter on GitHub is: https://github.com/FGovers/AI_and_Robotics_source_code/chapter_1

Check out the following video to see the Code in Action:
http://bit.ly/2BT0Met