Teaching a robot to listen to spoken instructions is a whole discipline in itself. It is not sufficient for the robot to just recognize individual words, or some canned phrase. We want the robot to respond to normal spoken commands with a normal variety of phrasing. We might say, Pick up the toys, or Please pick up all the toys, or Clean this mess up!, any of which would be a valid command to instruct the robot to begin searching the room for toys to pick up and put away. We will be using a variety of techniques and processes for this chapter. We are going to be building on an open source verbal assistant called Mycroft. This is an AI-based speech recognition and natural language processing engine that can be programmed and extended by us. We will be adding some additional capability to Mycroft – we will use a technique I call the fill in...
Artificial Intelligence for Robotics
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Artificial Intelligence for Robotics
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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.
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Artificial Intelligence for Robotics
Table of Contents (13 chapters)
Preface
Free Chapter
Foundation for Advanced Robotics and AI
Setting Up Your Robot
A Concept for a Practical Robot Design Process
Object Recognition Using Neural Networks and Supervised Learning
Picking up the Toys
Teaching a Robot to Listen
Avoiding the Stairs
Putting Things Away
Giving the Robot an Artificial Personality
Conclusions and Reflections
Assessments
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