Artificial Intelligence for Robotics
Build intelligent robots that perform human tasks using AI techniques
Published on 23. September 2024
344 pages
978-1-78883-570-1 (ISBN)
Description
Bring a new degree of interconnectivity to your world by building your own intelligent robots
Key Features
Leverage fundamentals of AI and robotics
Work through use cases to implement various machine learning algorithms
Explore Natural Language Processing (NLP) concepts for efficient decision making in robots
Book DescriptionArtificial 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
Get started with robotics and artificial intelligence
Apply simulation techniques to give your robot an artificial personality
Understand object recognition using neural networks and supervised learning techniques
Pick up objects using genetic algorithms for manipulation
Teach your robot to listen using NLP via an expert system
Use machine learning and computer vision to teach your robot how to avoid obstacles
Understand path planning, decision trees, and search algorithms in order to enhance your robot
Who this book is forIf 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.
Key Features
Leverage fundamentals of AI and robotics
Work through use cases to implement various machine learning algorithms
Explore Natural Language Processing (NLP) concepts for efficient decision making in robots
Book DescriptionArtificial 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
Get started with robotics and artificial intelligence
Apply simulation techniques to give your robot an artificial personality
Understand object recognition using neural networks and supervised learning techniques
Pick up objects using genetic algorithms for manipulation
Teach your robot to listen using NLP via an expert system
Use machine learning and computer vision to teach your robot how to avoid obstacles
Understand path planning, decision trees, and search algorithms in order to enhance your robot
Who this book is forIf 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.
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
24,82 MB
ISBN-13
978-1-78883-570-1 (9781788835701)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Francis X. Govers
Artificial Intelligence for Robotics
Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
E-Book
09/2024
2nd Edition
Packt Publishing
€26.99
Available for download
Additional editions
Francis X. Govers III
Artificial Intelligence for Robotics
Build intelligent robots that perform human tasks using AI techniques
Book
08/2018
Packt Publishing
€68.40
Shipment within 3-4 weeks
Person
Govers Francis X. :
Francis X. Govers III is an Associate Technical Fellow for Autonomy at Bell Textron, and chairman of the Textron Autonomy Council. He is the designer of over 30 unmanned vehicles and robots for land, sea, air, and space, including RAMSEE, the autonomous security guard robot. Francis helped lead the design of the International Space Station, the F-35 JSF Fighter, the US Army Future Combat Systems, and telemetry 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. He has a Master of Science degree from Brandeis University and is a veteran of the US Air Force.
Francis X. Govers III is an Associate Technical Fellow for Autonomy at Bell Textron, and chairman of the Textron Autonomy Council. He is the designer of over 30 unmanned vehicles and robots for land, sea, air, and space, including RAMSEE, the autonomous security guard robot. Francis helped lead the design of the International Space Station, the F-35 JSF Fighter, the US Army Future Combat Systems, and telemetry 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. He has a Master of Science degree from Brandeis University and is a veteran of the US Air Force.
Content
Table of Contents
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
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
