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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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Robot speech recognition

This is going to be a rather involved chapter, but all of the concepts are fairly easy to understand and I was very happy with the results I achieved when I developed this chapter. We will end up with a lot of collateral abilities for our robot that we are getting for free, and will end up with a very strong framework to build voice recognition and commands upon. Let’s get right to it.

What are we doing?

We set several goals for our robot in Chapter 2, which included being able to give voice commands to the robot, since we may be using the robot without a base station. I also wanted the robot to be able to interact with my grandchildren, and specifically to be able to tell and respond to knock...

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