SYSTEMS AND METHODS FOR LEARNING TO EXTRAPOLATE OPTIMAL OBJECT ROUTING AND HANDLING PARAMETERS

    公开(公告)号:US20220297940A1

    公开(公告)日:2022-09-22

    申请号:US17836271

    申请日:2022-06-09

    IPC分类号: B65G1/137 B65G61/00 G06Q10/08

    摘要: A system for object processing is disclosed. The system includes a framework of processes that enable reliable deployment of artificial intelligence-based policies in a warehouse setting to improve the speed, reliability, and accuracy of the system. The system harnesses a vast number of picks to provide data points to machine learning techniques. These machine learning techniques use the data to refine or reinforce in-use policies to optimize the speed and successful transfer of objects within the system. For example, objects in the system are identified at a supply location, a predetermined set of information regarding object is retrieved and combined with a set of object information and processing parameters determined by the system. The combined information is then used to determine routing of the object according to an initial policy. This policy is then observed, altered, tested, and re-implemented in an altered form.