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)

Summary

This chapter introduced natural language processing for robotics, and concentrated on developing a natural language interface for the robot that accomplished three tasks: starting the "pick up toys" process, telling knock-knock jokes, and listening to knock-knock jokes. The concepts introduced included recognizing words by phonemes, turning phonemes to graphemes and graphemes to words, parsing intent from sentences, and executing computer programs with a voice interface. We introduced the open source AI engine, Mycroft, which is an AI-based voice assistant program that runs on the Raspberry Pi. We also wrote a joke database to entertain small children with some very simple dialog.