Intelligent planning method and system

Abstract

The embodiment of the invention provides an intelligent planning method and system, and relates to the technical field of artificial intelligence. Through the intelligent planning method, the global scheduling on multirobots can be realized from the macro level; meanwhile, the distance between a robot and a package is considered; the priority is correspondingly set, so that all robots can effectively perform cooperative work; further, the optimal scheme is used for completing the warehousing and storage operation task; the logistics cost is effectively reduced. In addition, the domain description related in the method and system is used for describing a universal model of a warehousing and storage scene; the model can be repeatedly used after the building; the conditions of modification are few; users only need to modify the problem description by aiming at the concrete warehousing and storage problem. Therefore compared with the existing planning method, the method and the system havegood portability and expandability; the warehousing and storage problem planning can be efficiently completed.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an intelligent planning method and system. Background technique [0002] With the rapid development of e-commerce, traditional warehousing logistics can no longer adapt to the characteristics of modern logistics with large batches, small batches and short cycles. The application of warehousing logistics robots can effectively improve logistics efficiency. [0003] At present, the research on warehousing and logistics robots mainly focuses on the path planning of stand-alone robots using two-dimensional codes, RFID and indoor GPS technology. Mainly rely on technologies such as ground two-dimensional codes or distance sensors to avoid robot collisions, but there is no corresponding solution for multi-robot collaborative work, and the planning of the robot's travel path is random planning, which cannot cope with complex situations, resulting in The efficien...

AI Technical Summary

Problems solved by technology

Mainly rely on technologies such as ground two-dimensional codes or distance sensors to avoid robot collisions, but there is no corresponding solution for multi-robot collaborative work, and the planning of the robot's travel path is random planning, which cannot cope with complex situations, resulting in Inefficient planning and low quality of planning results

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