Amazon Technologies, Inc.

Udit Madan

David Daniel Glick

Michael Ellsworth Bundy

James Christopher Curlander

Jules Cook Graybill

Marshall Friend Tappen

Pragyana K Mishra

Darren Ernest Canavor

Wesley Scott Lauka

Ryan Scott Russell

Allan Scott Bathurst

Jonathan Blair Norwood

Robert Dreaper McDonald, Jr

Matthew Rice Carlson

Sebastian Lehmann

Alexander Clark Prater

Yung-Chun Lin

John Elias Darrow

Nipun Dureja

Victor Gregory Estevez

Hilliard Bruce Siegel

Erik Resch Parker

Hao He

Eitan S Levi

Facundo Leonardo Agriel

Vishal Nandkishor Patel

Maitreyi Nanjanath

Lubos Bosak

Nathan Ryan Bosch

Steven Michael Hood

A bulk data distribution system in which, instead of multiple data consumers contending to access the same data sets from a primary data store, one or more producers capture snapshots (states of the data sets at particular points in time) and upload the snapshots to an intermediate data store for access by snapshot consumers. The snapshot consumers may download the snapshots to generate local versions of the data sets for access by one or more data processing applications or processes. A snapshot producer may periodically generate full snapshots of a data set, and may generate one or more incremental snapshots of the data set between full snapshots. A snapshot consumer may bootstrap a local data set from a full snapshot and one or more incrementals, and may maintain state of the local data set by accessing new snapshots uploaded by the producer.

Bulk data distribution system

A pick rate planning system is utilized to determine pick rates needed for the picking of items in a materials handling facility. Critical pull times ('CPTs') are determined which indicate times by which items must be picked from inventory. A picking capacity of the materials handling facility is determined and pick rates are allocated as corresponding to regions of the picking capacity that are associated with the CPTs. As part of the allocating of the pick rates, regions of the picking capacity may have portions that result in a level filling of the picking capacity that minimizes spikes and other undesirable fluctuations.

Materials handling facility pick rate allocation

Disclosed are various embodiments for coordination of autonomous vehicles in a roadway. A roadway management system can generate lane configurations for a roadway or a portion of the roadway. The roadway management system can determine the direction of travel for lanes in a roadway and direct autonomous automobiles to enter the roadway in a particular lane.

Lane assignments for autonomous vehicles

Disclosed are various implementations for updating information displayed in a user interface for a worker in a fulfillment center. Information changing relative to a previous user interface can be provided in response to location data that indicates the worker's location within a fulfillment center.

Augmented reality user interface facilitating fulfillment

Disclosed are various embodiments for obtaining environmental data and operational data from autonomous vehicles in a roadway. A vehicle state of the autonomous vehicles can be updated using data that is obtained from nearby vehicles or other vehicles that are on the roadway. The roadway management system can also generate updates to the vehicle state based upon data obtained from sources external to autonomous vehicles.

Generating state information for autonomous vehicles

This disclosure describes a system and method for utilizing an automated aerial vehicle for rapidly transporting a priority pick item when an exception occurs (e.g., an item that was to be picked from another location or otherwise processed is found to be missing or damaged). In some implementations, a priority pick instruction may be generated that directs picking of the item from an alternative location after which the item may be transported by the automated aerial vehicle to a processing location (e.g., a problem solve station). A flight path may be determined which may have starting and ending points at designated locations where the automated aerial vehicle can safely land and take off for acquiring and/or delivering the priority pick item.

Utilizing automated aerial vehicles for transporting priority pick items

A pick rate planning system is utilized to determine pick rates needed for the picking of items in a materials handling facility. Critical pull times ('CPTs') are determined which indicate times by which items must be picked from inventory. Multiple pick rates that overlap in time are made to have an overall total pick rate that is relatively constant, so as to avoid spikes or other undesirable fluctuations in the overall total pick rate, which improves labor planning. Pick rates for later CPTs are designated as being for that CPT or any earlier CPTs, and all of the pick rates are designated as minimum suggested pick rates. These designations provide the picking scheduler with greater flexibility that results in higher pick density and productivity.

Minimum suggested rate picking

Imaging data regarding an interior portion of a storage vessel may be obtained from an imaging device (e.g., a digital camera or depth sensor) and interpreted in order to identify an available volume within the storage vessel. Where the imaging data includes an image of an interior of the storage vessel, an area of one or more contiguous spaces of a rear face of the storage vessel may be identified from the image and multiplied by a depth of the storage vessel in order to estimate the available volume. Where the imaging data includes a depth profile of the interior, the depth profile may be processed in order to estimate the available volume. Once an available volume has been estimated, the capacity of the available volume to accommodate one or more additional items may be determined, and information regarding the capacity may be provided to a user.

Selecting items for placement into available volumes using imaging data

Disclosed are various implementations for generating one or more visualization regions in a user interface indicative of a state of a fulfillment center. A visualization region may be generated comprising one or more visual identifiers, labels, and metrics describing one or more stages in a fulfillment process. In response to a manipulation of a portion of the visualization region, a predefined action may be initiated.

Item flow visualization for outbound fulfillment

Estimating available volumes using imaging data

A conferencing system receives information identifying a user and retrieves calendar information specifying scheduled events of the user. The conferencing system selects one of the events and joins the user to the event without the user manually entering information about the event.

Automatic conference call connection

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Seattle, WA, United States of America

Udit Madan