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Artificial Intelligence for Robotics

Artificial Intelligence for Robotics

By : Francis X. Govers III
4.4 (5)
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Artificial Intelligence for Robotics

Artificial Intelligence for Robotics

4.4 (5)
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)
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Summary

This chapter outlines a suggested process for developing your "to do" list as you develop your robot project. This process is called systems engineering. Our first step was to create use cases, or descriptions of how the robot is to behave from a user’s perspective. Then we created more detail behind the use cases by creating storyboards, where we went step by step through the use case. Our example followed the robot finding and recognizing toys, before picking them up and putting them in the toy box. We extracted our hardware and software needs, creating a to do list of what the robot will be able to do. Finally, we wrote a specification of one of our critical sensors, the camera.

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