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)

Task analysis

As we do for each chapter, let's review what we are going to accomplish in this section. We will be driving the robot around the house, looking for toys. Once we have a toy, we will take that toy to the toy box and put it away by dropping it into the toy box. Then, the robot will go look for more toys. Along the way, we need to avoid obstacles and hazards, which include a set of stairs going down that would definitely damage the robot.

I used a baby gate to cover the stairs for the first part of testing – and put pillows on the stairs for the second part. There is no need to bounce the robot down the stairs while it is still learning.

We are going to start with the assumption that nothing in this task list requires the robot to know where it is. Is that true? We need to find the toy box – that is important. Can we find the toy box without knowing...