自主批量收货机器人采用先进的机器视觉，基于机器学习的决策和人工智能，并结合集成控制，从而实现货物装卸货过程的自动化。机器学习能力可以让机器人随着工作次数的增加逐渐提高性能。

自主批量收货机器人可以灵活地处理各种形状和尺寸的货物；无需对被装卸载的车厢、货斗或集装箱等进行改造，可以与仓库或场地中的传送带、输送机集成。

iLoabot Pro adopts advanced machine vision interval decision-making based on machine learning and artificial intelligence, and combines with integrated control, to achieve automation of the cargo loading and unloading process. Machine learning ability can gradually improve the performance of robots as the number of tasks increases.

iLoabot Pro can flexibly handle goods of various shapes and sizes; There is no need to modify the loaded and unloaded carriages, cargo hoppers, or containers, and they can be integrated with conveyor belts and conveyors in warehouses or yards.