Walmart Apollo, LLC

Wal-mart Stores, Inc.

ChandraShekar Natarajan

Donald R High

John Paul Thompson

Michael D Atchley

John Jeremiah O'Brien

Nathan Glenn Jones

Matthew Allen Jones

Brian G McHale

Todd Davenport Mattingly

Gregory A Hicks

Nicholas Ray Antel

John J O'brien

Anton Valkov

Mario Alberto Cornejo Barriere

Atikhun Unahalekhaka

Described in detail herein are systems and methods for network environment for a dynamic learning system for object matching and substitution using hand-held electronic devices. In exemplary embodiments, a hand-held electronic device may receive a request for physical objects of which a first physical object may be unavailable. The hand-held electronic device may transmit an identifier of the first physical object to a central computing system. The central computing system may query the database to retrieve data associated with the first physical object. The centrally computing system may attempt to match the first physical object to an available physical object based on dynamically learned matching behavior using the retrieved data. In response to matching data associated with one of the available physical objects to the data associated with the first physical object the central computing system may learn to replace the first physical object on the list with the one of the available physical objects based on dynamically learned matching behavior.

Systems and methods for object matching and substitution

A system and method for item replenishment comprise a subscription device that associates tags with items, a tag tracking device for collecting data on the tags associated with the items, and a management system that monitors changes in use of the items, including analyzing use patterns to determine when the items should be replenished, replaced, or upgraded.

Retail subscription in internet of things environment

Described in detail herein are methods and systems for performing a physical object assessment. The system entails an automated system to receive, unpack and assess a physical object based on automated determined attributes. The system can determine an element based on the assessment and generate a webpage including the attributes of the physical object and the determined element.

Systems and methods for automated assessment of physical objects

A budget-constrained, machine-learning system is described that creates a shopping (purchase) list and performs on-line ordering and delivery. It receives the shopper's past purchase receipts from a retail store, pharmacy and/or auto center. It may attach to a web server to acquire on-line browsing information. The system creates a Purchase List from acquired information. The system receives a budget and determines if all items on the Purchase List can be bought under the budget. If not, the items are given priority ratings. The system walks down the list to in decreasing priority rating order identifying items to purchase without exceeding the budget. The shopper may override the items identified to be purchased. Shopper override is monitored by a machine learning engine which adjusts the priority rating of the item or the period of replacement for the next shopping trip/session, allowing for more accurate results and flexibility.

Predictive shopping

A delivery management system comprises a communication device that receives a notification of a communication established between an unmanned aerial vehicle (UAV) that delivers a payload and a delivery box constructed and arranged to receive the payload from the UAV when the UAV is a predetermined distance from the delivery box and moving in a direction toward the delivery box, the communication including an identity of the UAV; a verification device that processes the notification and validates the identity of the UAV; and an instruction generator that generates an instruction to the delivery box to open the delivery box in response to the verification device validating the identity of the UAV and a determination by the communication device that the communication is established between the UAV and the delivery box. The communication device includes an autolocker communication device that outputs the instruction to the delivery box.

Unmanned aerial delivery to secure location

In some embodiments, systems, apparatuses and methods are provided herein useful to delivery packages using unmanned delivery aircrafts. Some embodiments include product delivery systems, comprising: a transceiver; a control circuit; a memory coupled to the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to perform the steps of: receive, from a customer, an authorization to deliver a product by an unmanned delivery aircraft; receive, from a portable user interface unit associated with the customer, global location information of a current location of the user interface unit and that designates a delivery location where the customer would like the product delivered; and initiate a delivery, by an unmanned delivery aircraft, of the product to the delivery location defined by the global location information received from the user interface unit.

Targeted location product delivery systems and methods

An airborne drone training track includes both a ground track and a ceiling track. The ceiling track can be disposed above and be at least essentially aligned with the ground track. Airborne drone attachment tethers movably attach an airborne drone to each of these tracks. A lower airborne drone attachment tether movably attaches to the ground track and to a bottom portion of the airborne drone. A plurality of upper airborne drone attachment tethers movably attach to the ceiling track and to upper portions of the airborne drone. By one approach there is only one lower airborne drone attachment tether and four upper airborne drone attachment tethers.

Method and apparatus for an airborne drone training track

Systems, apparatuses, and methods are provided herein for stabilizing an unmanned aerial system. An apparatus for stabilizing an unmanned aerial system comprises a ring member and a pair of attachment members each having a first end and a second end, the first end being configured to attach to a multicopter and a second end being coupled to the ring member. Wherein the pair of attachment members holds the ring member such that a plane of a circumference of the ring member is generally parallel to blades of the multicopter.

Apparatus and method for stabilizing an unmanned aerial system

Exemplary embodiments relate to a drone system including a drone configured for navigation of an outdoor facility and equipped with an RFID reader, an optical code reader, and at least one of powertrain control module data receiver and an electronic control module data receiver. The system includes a computing system in communication with the drone.

System and methods for drone-based vehicle status determination

In some embodiments, provide systems, apparatuses and methods to deliver products using unmanned delivery aircraft. In some embodiments, product delivery system is provided, comprising: an unmanned delivery aircraft configured to deliver a package to a package drop point corresponding to a location of a vehicle at a predefined drive-through station, wherein the delivery aircraft comprises: one or more cameras; an image processor configured to process images captured by the one or more cameras and based on the processing of the images confirm a precise location of the package drop point as defined according to a determined current location and an orientation of the vehicle; and a crane system that supports the first package and lowers the first package to the package drop point relative to the current location and orientation of the vehicle while the delivery aircraft hovers above the vehicle by a threshold distance.

Product delivery methods and systems utilizing portable unmanned delivery aircraft

Exemplary embodiments relate to an indoor drone system including an autonomous drone configured for autonomous navigation, and a computing system in communication with the autonomous drone. The autonomous drone includes an optical code reader and at least one navigational sensor. The computing system includes a verification module.

Systems and methods for autonomous drone navigation

Described in detail herein are systems and methods for verification of a report of absence of a physical object from an assigned region. A mobile device may capture an image of a vacant region and transmit the image and GPS coordinates of the location of the vacant region to a video analysis module within a computing device. The video analysis module may perform video analytics on the image and verify the location of the vacant region. The video analysis module may verify the physical object is absent from the vacant region. In response to verification that the physical object is absent from the vacant region the video analysis module may trigger an event.

System for verifying physical object absences from assigned regions using video analytics

In some embodiments, systems, apparatuses and methods are provided to enhance customer service through the distribution of mobile sales vehicles comprising: an engine and a drivetrain; a point of sales system; product storage storing pre-selected products selected in response to an evaluation of location demographic information, and in response to an evaluation of population demographic information, wherein the pre-selected products comprise a sub-set of potential products available from a retail entity operating the sales vehicle; and a product distribution system coupled with the point of sales system and comprising a control circuit configured to authorize access by a customer to one or more products stored in the product storage and purchased by the customer.

Mobile retail systems and methods of distributing and stocking the mobile retail systems

Systems, apparatuses, and methods are provided herein for providing package release for an unmanned aerial system. An apparatus for releasing packages for retrieval by an unmanned aerial system comprises a plurality of arms configured to surround a plurality of packages stacked vertically in an extended position, a plurality of powered hinges at a base of each of the plurality of arms, and a control circuit coupled to the plurality of powered hinges. The control circuit being configured to: determine a height for a first lowered position for the plurality of arms at which the plurality arms do not obstruct an unmanned aerial vehicle from coupling with a coupling structure on a first package of the plurality of packages positioned at a top of the plurality of packages, and cause the plurality of powered hinges to pivot the plurality of arms from the extended position to the first lowered position.

Apparatus and method for providing package release to unmanned aerial system

Systems, apparatuses and methods are provided herein for monitoring a parking area. A system for monitoring a parking area comprises a satellite image database storing a plurality of satellite images of a parking lot taken by one or more satellites over time, a baseline database storing baseline models of a plurality of sections of the parking lot, and a control circuit coupled to the satellite image database and the baseline database. The control circuit being configured to: determine a utilization condition for each of the plurality of sections of the parking lot based on performing image analysis on the plurality of satellite images of the parking lot, compare the utilization condition for each of the plurality of sections of the parking lot with the baseline model of the plurality of sections of the parking lot, and in an event that the utilization condition of a section of the plurality of sections of the parking lot substantially deviates from the baseline model of the section, automatically generate an action recommendation for the section of the parking lot.

Growing community of inventors

San Ramon, CA, United States of America

ChandraShekar Natarajan