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.
