The core technology framework of automated palletizing machines typically comprises three major systems: sensing, decision-making, and execution. The sensing system identifies the size, shape, and position of materials using industrial cameras or photoelectric sensors. The decision-making system plans the optimal motion trajectory using a PLC or dedicated motion chip. The execution system selects different end effectors based on the material characteristics to complete the gripping and placement actions.
Key technologies include integrating AI vision systems and intelligent algorithms to achieve unmanned operation in mixed-flow production; employing digital twin technology for virtual debugging to shorten debugging time; and using industrial internet technology for equipment status monitoring and predictive maintenance. Some high-end models utilize force control technology for safe human-machine collaboration. Dedicated palletizing software (such as KUKA.PalletTech) allows users to configure palletizing tasks through a graphical interface and automatically generate robot programs, lowering the programming threshold.
Technological development trends include high intelligence, flexibility, a greater emphasis on human-machine collaboration and flexibility, and energy conservation and environmental protection.
