Скачать или смотреть #👾 Vision Systems (Cameras, LIDAR, Depth Sensors) | Module 5 | Topic 5.3 |

How do robots perceive their environment, recognize objects, and navigate complex spaces? Through advanced Vision Systems! These are the "eyes" that allow robots to understand the world around them.
Let's explore the key components of robot vision:
RGB Cameras (Color Vision):
How it works: Captures 2D color images (Red, Green, Blue) just like a human eye.
Used for: Object recognition, line following, basic navigation, and visual inspection tasks. It helps robots identify what things are based on their appearance.
LiDAR (3D Mapping):
How it works: Emits laser beams and measures the time it takes for the light to return (Time-of-Flight). This creates precise 3D maps of the environment.
Used for: Simultaneous Localization and Mapping (SLAM), obstacle avoidance, high-precision navigation in complex environments (like self-driving cars). It's excellent for understanding where things are in 3D space.
Depth Sensors (3D Perception):
How it works: Provides per-pixel depth information. Technologies include Structured Light (e.g., Microsoft Kinect) and Stereo Cameras (mimicking human binocular vision).
Used for: Object manipulation, human-robot interaction (understanding distances to people), 3D scanning, and precise grasping. It gives robots a sense of how far away objects are, even at close range.
By integrating these vision systems, robots gain a comprehensive understanding of their surroundings, enabling them to perform increasingly complex and intelligent tasks!