Chapter 15: Sensors and Perception – Computer Vision Techniques for Robot Perception
Abstract: Robot perception, using sensors and computer vision techniques, enables robots to understand and interact with their environment, including tasks like navigation, object recognition, and human-robot interaction . Key Concepts and Techniques: Sensors: Robots use various sensors to gather data about their surroundings, including cameras, LiDARs, radars, IMUs, and tactile sensors. Computer Vision: Algorithms and techniques are used to process and interpret visual data from sensors, enabling robots to "see" and understand their environment. Sensor Fusion: Combining data from multiple sensors to create a more accurate and reliable representation of the environment. Object Detection and Recognition: Identifying and classifying objects in the robot's field of view. Face Detection and Tracking: Identifying and tracking human faces, useful for human-robot interaction. Visual Odometry: Determining the robot's position and orien...