After several iterations, the stability and reliability of visual AGV products have been recognized. At present, mature visual navigation applications in unmanned forklift AGVs have the following four irreplaceable core advantages:
- Strong usability: compared to other navigation methods, visual navigation can extract semantic information from the environment, and three-dimensional visual perception is comprehensive, which effectively reduces the blind spots of robots. Therefore, it is more suitable for complex scenarios in routine customer needs, such as deformed shelves and pallets due to long-term use; Overboard of large proportion of goods; The rapid increase in handling volume in a short period of time; Vehicle scheduling in narrow spaces, etc.
- Precise perception: tray and material cage recognition, adaptive precise forking, beam detection, cargo stacking, and spatial detection all rely on precise perception technology. The unmanned forklift AGV can automatically identify and adapt to pallets and shelf beams through visual inspection of goods, avoiding the danger of high-rise shelf operations.
- Safety and stability: In order to achieve "machine replacement" during high-altitude forklift operation, it is necessary to be safe at the beginning, after all, once the blind spots of the machine are ignored, it may cause safety accidents. The high-level forklift AGV using 3D vision has rich information and stable navigation. When avoiding obstacles, it can not only stop and detour, but also avoid obstacles at high altitude and negative scale (detecting potholes), which cannot be achieved by LiDAR.
- High cost-effectiveness: Visual sensors not only significantly reduce the cost of products due to their cost advantages, but also have efficiency that cannot be compared to manual work in the high-level forklift AGV docking management system. The AGV robot, in conjunction with warehouse management systems such as WMS/WCM, can improve its inbound and outbound efficiency by 20%, saving 3-4 labor costs. Therefore, in terms of the return on investment cycle for end customers, visual navigation industrial unmanned vehicles have significant advantages over other navigation methods.
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