Amazon Technologies, Inc.

Amanda V Wozniak

Ilissa Brooke Bruser

David Paul Smart

Martin Jouvenot

Techniques for allocating resources in an item handling environment are described. In an example, a computer system determines that an item is to be transferred at an item handling station to or from a stowage unit. The computer system determines data associated with transferring the item. The data indicates at least one of: an item type, a sequence of transferring items to or from the stowage unit, capability at the item handling station associated with handling the item type, an ergonomic parameter associated with the handling, a configuration of the stowage unit, an allocation of one or more resources to handle items, or a schedule of the allocation. The computer system generates, by using the data as input to an artificial intelligence model, a set of instructions indicating an allocation of a resource to the item handling station for the transferring of the item and a timing of the allocation.

Machine learning approach for resource allocation for item handling

Techniques for classifying and processing physical objects are disclosed. In an example, a computer system may receive first data indicating that a first machine learning model of a robotic system is incapable to classify a physical object according to at least one of a set of predetermined classifications. The computer system may also receive second data corresponding to one or more attributes associated with the physical object. A second machine learning model of the computer system may determine a cluster of physical objects that includes an identifier of the physical object, whereby the identifier is included in the cluster based at least in part on the first data and a common attribute with other physical objects of the cluster. The computer system may then determine data for processing subsequent physical objects that are determined to have the common attribute.

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Somerville, MA, United States of America

Amanda V Wozniak