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Integration of AI Technologies and Logistics Robots in Unmanned Port

Xianyu Zhang, Xinguo Ming, Zhihua Chen

Year
2018
Citations
4

Abstract

By analyzing the pain points of port logistics, which include high cost of logistics personnel, difficult management of storage yard, low efficiency of warehouse operation, operational risk, and etc., the requirements of logistics robots in unmanned port are proposed. We have carried out the research on the framework and application of the integration of artificial intelligence and unmanned port logistics. The artificial intelligence technology we studied, such as large data intelligence, group cooperative intelligence, adaptive intelligence and autonomous control intelligence, can be used to realize intelligent perception, intelligent control, intelligent scheduling, intelligent early warning and intelligent decision in the logistics activities of unmanned port. The research results of the paper have achieved good results in our participation in artificial intelligence projects. Subsequent research will be extended to other logistics activities, such as the sorting of express parcels, the warehouse management of the Amazon, the distribution of parts of the automobile production line, the rocket carrying of the rocket launch site, the logistics link in the factory and so on.

Keywords

Port (circuit theory)Computer scienceRobotScheduling (production processes)Integrated logistics supportIntelligent controlSortingSystems engineeringEngineering managementEngineering

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