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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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Use cases

Let’s start with a statement of the problem.

The problem – part 1

About once or twice a month, my four delightful, intelligent, and playful grandchildren come to visit my wife and me. Like most grandparents, we keep a box full of toys in our upstairs game room for them to play with during their visits. The first thing they do upon arrival – at least the bigger grandkids– is to take every single toy out of the toy box and start playing. This results in the the following photo – basically toys randomly and uniformly distributed throughout the playroom. Honestly, you could not get a better random distribution. They are really good at this. Since, as grandparents, our desire is to maximize...

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