In the context of transportation hubs, unmanned floor scrubbers use a combination of hardware algorithms to address typical problems and meet customers' cleaning needs.

The unmanned floor scrubber is equipped with a 360 ° perception and recognition system, which can identify pedestrians, stairs, and static and dynamic obstacles, autonomously plan obstacle avoidance, and ensure safe and smooth operation; By combining different cleaning modules, we can meet the cleaning needs of different time periods and ground surfaces in large traffic scenarios; By combining with workstations, automatic charging and drainage can be achieved to meet the cleaning needs of 24-hour uninterrupted operation in traffic scenarios.

Multiple measures and multi pronged approach are taken to achieve fully automated unmanned operations in large transportation scenarios, and detailed cleaning information can be recorded and stored on cloud servers for data analysis, comprehensively improving the cleanliness level in the scene.