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

We will actually be able to accomplish all of these tasks without a robot, if yours cannot walk yet. We will, however, get better results if the camera is in the proper position on the robot. If you don't have a robot, you can still do all of these tasks with a laptop and a USB camera.

The source code for this chapter can be found at https://github.com/PacktPublishing/Artificial-Intelligence-for-Robotics/chapter4.

Check out the following video to see the Code in Action:
http://bit.ly/2wwM9Zl