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AGV Handling Robot Commonly Uses Sensor Principles and Their Advantages and Disadvantages, Application Introduction
- LiDAR is a sensor system that emits laser beams to detect target information, widely used in autonomous driving and mapping.
- Point cloud data from LiDAR contains reflectivity characteristics and spatial coordinates for object detection.
- Laser navigation in AGV systems allows for flexible movement and precise positioning based on map construction and real-time positioning.
- Laser navigation features high-precision positioning, environmental adaptability, no fixed-path limitations, and high intelligence for multi-AGV cooperation.
- AI-driven laser obstacle avoidance in AGVs uses laser radar and intelligent algorithms to detect and navigate around obstacles.
- ToF technology in cameras uses light waves for spatial measurement, offering accurate depth information and 3D environment modeling.
- ToF cameras in AGVs are used for obstacle avoidance, safety protection, pallet identification, fork picking, and volume measurement.
- Ultrasonic sensors are used for AGV obstacle avoidance, transparent object detection, and offer advantages like resistance to interference and low cost.
- IMUs in AGVs provide dynamic attitude control, infrastructure-free positioning, and high-frequency updates but face challenges related to accumulated error and calibration.
- Photoelectric distance sensors are cost-effective, non-contact, and offer high-speed response for simple obstacle detection.
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