Computer Vision in Robotics

The Computer Vision in Robotics book by Discovery Publishing House provides an in-depth exploration of the role of computer vision in the field of robotics. It focuses on how computer vision technologies enable robots to interpret and understand their environment which is crucial for performing complex tasks autonomously. Key Features of the Book: Introduction to Computer Vision and Robotics: The book begins with an introduction to the fundamental concepts of computer vision and robotics. It explains how these two fields are interconnected and how computer vision plays a critical role in helping robots perceive their surroundings and make decisions. Applications of Computer Vision in Robotics: It highlights various applications where computer vision is applied in robotics such as object recognition motion tracking robot navigation and 3D reconstruction. These applications are important for enabling robots to perform tasks like grasping objects navigating through complex environments and interacting with humans. Algorithms and Techniques: The book provides an overview of the key algorithms and techniques used in computer vision for robotic systems. This includes topics like: Image processing and feature extraction Edge detection and object recognition Stereo vision and depth estimation Machine learning for vision-based tasks These techniques are essential for allowing robots to analyze visual data from cameras or sensors and make informed decisions. Sensors and Hardware for Vision Systems: It discusses the different sensors and hardware used in robotic systems to capture visual data such as cameras LIDAR and infrared sensors. Understanding these tools is crucial for integrating computer vision capabilities into robots. Vision-Based Control Systems: The book explores how vision-based control systems are used to guide robotic behavior. This involves integrating computer vision algorithms with robot control systems to enable autonomous operations like obstacle avoidance path planning and manipulation. Real-World Examples: The book provides real-world case studies and examples of how computer vision is used in various types of robots from industrial robots to autonomous vehicles and service robots. These case studies help readers understand the practical implications of computer vision in robotics.