Bring a new degree of interconnectivity to your world by building your own intelligent robots
Key Features
Book Description
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.
What you will learn
Who this book is for
If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
Table of Contents
"synopsis" may belong to another edition of this title.
Francis X. Govers is an autonomous vehicle designer at Bell Helicopter Textron. He is the designer of 28 unmanned vehicles or robots for land, sea, air, and space, including RAMSEE, the autonomous security guard robot. Francis helped design the International Space Station, the F-35 JSF Fighter, the US Army Future Combat Systems, and systems for NASCAR and IndyCar. He is an engineer, pilot, author, musician, artist, and maker. He received five outstanding achievement awards from NASA and recognition from Scientific American for World Changing Ideas.
"About this title" may belong to another edition of this title.
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