US Patent Application 18216221. PLACEMENT LOCATION OBTAINING METHOD, MODEL TRAINING METHOD, AND RELATED DEVICE simplified abstract
PLACEMENT LOCATION OBTAINING METHOD, MODEL TRAINING METHOD, AND RELATED DEVICE
Organization Name
Inventor(s)
Xialiang Tong of Shenzhen (CN)
PLACEMENT LOCATION OBTAINING METHOD, MODEL TRAINING METHOD, AND RELATED DEVICE - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18216221 Titled 'PLACEMENT LOCATION OBTAINING METHOD, MODEL TRAINING METHOD, AND RELATED DEVICE'
Simplified Explanation
This application describes a method and device for obtaining the best placement location for an object in a given space. The method involves obtaining size information of the available space and the object, generating multiple potential placement locations based on this information, and using a machine learning model to assign a score to each potential location. The highest-scoring location is then selected as the best placement location. This method improves the efficiency and automation of object placement in warehousing and logistics, reducing the need for manual decision-making based on experience.
Original Abstract Submitted
This application discloses a placement location obtaining method, a model training method, and a related device. The method includes: obtaining first size information of an unoccupied area in an accommodation space and second size information of a first object; generating M candidate placement locations based on the first size information and N pieces of second size information, where one candidate placement location indicates one placement location of one determined first object in the unoccupied area; generating a first score value of each candidate placement location based on the first size information by using a first machine learning model; and selecting a first placement location from the M candidate placement locations based on the first score value. This avoids excessive dependence on experience of a technical person, and improves an automation level and efficiency of placing/loading an object in the warehousing and/or logistics field.
