Publisher's Synopsis
Introduction to Robot Vision and Perception is the essential guide to understanding how robots use advanced vision systems, cameras, and artificial intelligence (AI) to "see" and interpret the world around them. This book provides a clear and accessible introduction to the complex field of robot perception, exploring how robots perceive their environment, process visual data, and make intelligent decisions based on what they see.
Through detailed explanations and real-world examples, you'll learn how robots use sensors and cameras to gather visual information, and how AI algorithms process that data to enable tasks like object recognition, depth perception, and environmental mapping. Whether you're a beginner or an experienced engineer, this guide covers everything from basic image processing techniques to advanced AI-driven perception models, allowing you to design robots that can interact with and adapt to the world around them.
This book bridges the gap between robotics, AI, and computer vision, providing a strong foundation for anyone looking to explore robot vision systems and enhance their understanding of robotic perception.
Why You Should Read This Book:- Learn the fundamental principles of robot vision and how robots use sensors and cameras to perceive their surroundings
- Understand how AI and machine learning algorithms enable robots to process visual data and make decisions
- Explore image processing techniques, object detection, and environmental mapping
- Discover real-world applications in industries like robotics, automation, healthcare, and autonomous vehicles
- Step-by-step guidance on integrating robot vision systems into robotic platforms
- Ideal for engineers, students, and enthusiasts who want to deepen their knowledge of AI and robot perception
By the end of the book, you'll have a strong understanding of how robots see and understand the world, and how to build systems that give robots the ability to perceive, learn, and act intelligently.
