AI robotics heavily leverages a wide array of sensors to perceive, understand, and interact with its environment. Vision sensors, including 2D cameras, depth cameras like Intel RealSense, and Lidar systems, are crucial for object detection, mapping, and precise navigation, providing rich spatial data. For collision avoidance and proximity detection, robots commonly employ ultrasonic sensors and radar, ensuring safe operation near obstacles. Force and tactile sensors on grippers and end-effectors enable delicate manipulation, object recognition through touch, and safe human-robot collaboration by detecting physical contact. Furthermore, Inertial Measurement Units (IMUs), combining accelerometers and gyroscopes, track the robot's orientation and movement, while encoders on motors monitor joint positions for precise control. Microphones facilitate voice interaction and sound-based environment analysis, and in some specialized applications, chemical or temperature sensors might be used for specific environmental monitoring tasks. More details: https://realdom.com.ua/