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 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
- 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 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
- 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
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.
