Automatic Container Unloading Robot

3D Vision Perception System
The vision system is the robot’s “eyes,” installed at the end of the robotic arm or above the container entrance.

Depth Imaging: Employs industrial-grade 3D laser cameras or structured light cameras to scan the stacking status of goods inside the container in real time.

AI Algorithm Processing: Utilizes deep learning algorithms to extract features from complex situations such as irregular stacking, package compression deformation, and label obstruction, calculating the optimal gripping point and normal vector.

Obstacle Detection: Automatically identifies the container’s inner walls, bottom pallets, and foreign objects to prevent collisions.

Flexible Gripping End Effector (EOAT)
Depending on the type of goods, the end effector typically adopts a modular design:

Sponge Suction Cup Array: Suitable for cardboard boxes, featuring multi-zone independent control, firmly adhering even to uneven surfaces.

Pneumatic Fingers/Grippers: For woven bags or flexible packaging, employing a hooking or lifting design to prevent packaging damage.

Lateral gripping device: Provides additional support for heavy or long cargo.

Telescopic conveyor base
Robots are typically integrated into movable telescopic platforms:

Automatic walking mechanism: The robot base can enter the container interior along ground rails or via an AGV chassis.

Multi-stage telescopic conveyor belt: As unloading progresses, the conveyor automatically extends into the container, ensuring seamless connection of the gripped cargo to the main conveyor line.