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US Patent 11861543 Optimized package loading

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118615431
Patent Inventor Names
Nicholas Hernandez1
Shivani Sheopory1
Stavan Dholakia1
Jacob Lauer1
Minh Le1
Date of Patent
January 2, 2024
1
Patent Application Number
171116091
Date Filed
December 4, 2020
1
Patent Citations
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US Patent 8615386 Computerized method for loading a load carrier with packages
1
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US Patent 8849634 Method for identifying the maximal packing density of shifting-tiles automated warehouses
1
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US Patent 9315344 Container stacking configurations
1
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US Patent 9926131 Custom container stacking configurations
1
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US Patent 9714145 Container stacking configurations
1
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US Patent 9969571 Container stacking configurations
1
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US Patent 6876958 Method and system of optimized sequencing and configuring of items for packing in a bounded region
1
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US Patent 7653457 Method and system for efficient package delivery and storage
1
Patent Primary Examiner
‌
Katrina R Fujita
1
CPC Code
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B65G 67/20
1
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G06Q 10/083
1
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G06T 7/521
1
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G06T 7/62
1
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G06V 10/147
1
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G06V 20/52
1
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G06V 20/59
1
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G06V 20/64
1
...
Patent abstract

Disclosed are various embodiments for optimizing cubic utilization when loading items into a loading space. A current loading configuration of the loading space can be determined according to image data obtained by 3D sensors. Item data (e.g., volume, mass, type, dimensions, etc.) can be determined for incoming items to be loaded into the loading space. The current loading configuration and the item data can be used to determine an item sequence and optimal placement location for the next item to be loaded such that a cubic efficiency of the loading space is maximized and amount of air gaps between items is minimized. The current loading configuration can further be used to determine if a sensing system or an item loading system needs to be repositioned. Whether the next item was placed in the optimal placement can also be verified based on subsequent image data obtained by the 3D sensors.

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