Traditional automated forklifts heavily depend on standardized racks, goods, and pallets, exhibiting limited adaptability in non-standardized scenarios.
After being enhanced with embodied AI, autonomous forklifts possess significantly improved situational adaptability, handling non-standard racks and goods more effectively. They address the last 100 meters of unmanned operations. The computing foundation uses the N203 module based on GMSL2 cameras, capable of connecting up to 4 high-definition vehicle-mounted cameras and RGB-D cameras. It employs SLAM navigation algorithms, 5G and Wi-Fi high-speed communication systems, and integrates embodied AI task algorithms to identify goods and racks, enabling continuous task planning and execution.