- Seattle WA, US Jeremiah David Brazeau - Hudson NH, US
International Classification:
G06Q 10/08 G06K 19/07
Abstract:
Embodiments are directed to an inventory system that comprises sensors coupled with an inventory holder and a management module to automatically determine a location of an interaction with an inventory bin of the inventory holder by an inventory item without requiring hand-scanners. The system may determine the location of the interaction with which to associate to a particular bin of the inventory holder based on signal information provided by one or more proximity sensors coupled with the inventory bins of the inventory holder. The system may update information to associate the inventory item with the location of the particular bin in the inventory holder in response to determining the location of the interaction using the signal information.
- Seattle WA, US Jeremiah David Brazeau - Hudson NH, US
International Classification:
G05D 1/02 G05D 1/00
Abstract:
Described herein is system in which separate networks are operated on behalf of system components associated within an inventory system. Mobile drive units may receive initial instructions from a central authority and may identify a number of system components relevant to the provided instructions. The mobile drive unit may be configured to traverse to locations associated with the identified system components. As the mobile drive unit traverses the inventory floor, it may connect to the separate networks that it comes into contact with. Upon connecting to a network associated with a system component relevant to its set of instructions, the mobile drive unit may provide instructions to the system component to cause it to execute an action. In some embodiments, the mobile drive unit may connect to a system component in order to perform a route guidance algorithm and/or collision avoidance algorithm.
Adaptive Process For Guiding Human-Performed Inventory Tasks
An inventory management system is described. The inventory management system may be configured to determine a head or eye level of an operator interacting with a storage structure. As part of this process, visual image data, thermal image data, or LiDAR data can be obtained and the eyes or head of the operator identified in the obtained data, or the operator may wear a device usable to determine head or eye position. The determined head or eye level can be correlated with a vertical position on a display, and inventory information can be displayed to the operator at the determined level.
- Seattle WA, US Jeremiah David Brazeau - Hudson NH, US
International Classification:
G06Q 10/08 G01C 21/20 G05D 1/02
Abstract:
A system for managing inventory items includes a portable inventory holder and an unmanned drive unit configured to move the inventory holder between locations in an inventory facility. The inventory facility includes a plurality of uniquely identifiable fiducial markers having a small set of values distributed in a pattern. The drive unit captures at least one image of a subset of the plurality of the fiducial markers. The at least one captured image is processed to determine a location of the drive unit within the facility. A path is determined along which the drive unit moves to an inventory holder and moves the inventory holder to another location. The pattern of fiducial markers can include one or more repeated instances of uniquely identifiable fiducial markers. A fiducial marker can encode information using a readable code and at least one attribute of the fiducial marker.
Inter-Facility Transport In Inventory Management And Fulfillment Systems
- Seattle WA, US Oleksandr Glazkov - Boston MA, US Timothy Aaron Bragg - Woburn MA, US Matthew David Verminski - North Andover MA, US Jeremiah David Brazeau - Hudson NH, US Peter R. Wurman - Acton MA, US John W. Cullen - Boston MA, US Michael T. Barbehenn - North Reading MA, US
International Classification:
B65G 1/137
Abstract:
In an infrastructure that uses a mobile order fulfillment system, robotic drive units may be dispatched and instructed to bring inventory holders to a workstation where at least one of the inventory holders is packed and prepared for shipment. The robotic drive units are then instructed to move the prepared inventory holder to a transport vehicle such as a truck. Fiducial marks may be removably placed within the transport vehicle to aid navigation of the robotic drive units. At a destination facility, additional robotic drive units may be instructed to move the inventory holders from the truck and place the inventory holders at appropriate storage locations.
Inter-Facility Transport In Inventory Management And Fulfillment Systems
- Reno NV, US Oleksandr Glazkov - Boston MA, US Timothy Aaron Bragg - Woburn MA, US Matthew David Verminski - North Andover MA, US Jeremiah David Brazeau - Hudson NH, US Peter R. Wurman - Acton MA, US John W. Cullen - Boston MA, US Michael T. Barbehenn - North Reading MA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06Q 10/08
US Classification:
700216
Abstract:
In an infrastructure that uses a mobile order fulfillment system, robotic drive units may be dispatched and instructed to bring inventory holders to a workstation where at least one of the inventory holders is packed and prepared for shipment. The robotic drive units are then instructed to move the prepared inventory holder to a transport vehicle such as a truck. Fiducial marks may be removably placed within the transport vehicle to aid navigation of the robotic drive units. At a destination facility, additional robotic drive units may be instructed to move the inventory holders from the truck and place the inventory holders at appropriate storage locations.
Salesforce
Distinguished Architect
Amazon Robotics Apr 2016 - Aug 2017
Principal Engineer
Amazon Robotics Sep 1, 2011 - Apr 2016
Senior Software Engineer
Raytheon May 1, 2011 - Sep 1, 2011
Principle Software Engineer
Raytheon May 1, 2009 - Jun 1, 2011
Senior Software Engineer Ii
Education:
Northeastern University 2006 - 2008
Master of Science, Masters, Electrical Engineering
Rochester Institute of Technology 1999 - 2004
Master of Science, Masters, Bachelors, Bachelor of Science, Computer Science
Skills:
Software Engineering Java Software Development C++ C Software Design Object Oriented Design Linux Distributed Systems Team Leadership Embedded Systems Eclipse Clearcase Sql Device Drivers Artificial Intelligence Testing Perl