Research on robotic baggage handling information system for digital airport logistics
An automated baggage sorting and loading system was devised for airports,addressing challenges in accurately manipulating large,irregular,and dynamic luggage.This approach,combined with a binary search algorithm and a time synchronization estimation model,facilitated the design of a system for digital logistics management,addressing adaptive sorting and loading of baggage.Field trials revealed an average data communication process duration of 925 ms and point cloud processing and grasp planning times of 22.1 ms,achieving a sorting and loading speed under 20 s/item with over 90%gripping success.These results indicate significant enhancement in airport baggage handling efficiency and accuracy,highlighting substantial potential for application in upgrading airport loading areas.
airport logistics systemadaptive sorting and loadingbaggage information recognitionbaggage handling