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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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Putting Things Away

Imagine that you have to get to Grandma’s house, which, according to legend, is over the hills and through the woods, and two states away. That would be two countries away if you live in Europe. To plan your trip, you can start in one of two ways. Ignoring the fact that Google has taken away most map reading and navigation skills from today’s youth, you would get out a map and either:

  • Start at your house and try to find the roads that are closest to a straight line to Grandma’s house
  • Start at Grandma’s house and try to find roads leading to your home

From either direction, you will find that the road or path you seek forks, intersects, changes, meanders, and may even come to a dead end. Also, all roads are not created equally – some are bigger, with higher speed limits, and some are smaller, with more stop signs. In...

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