Abstract: In some embodiments, methods and systems of dispensing an insecticide to defend a crop-containing area against crop-damaging pests include an unmanned vehicle having a sensor that detects a crop-damaging pest in the crop-containing area and captures pest detection data, and an insecticide output device including at least one insecticide directed at the pest. The unmanned vehicle transmits the captured pest detection data via the network to the computing device and, in response to receipt of the captured pest detection data via the network from the unmanned vehicle, the computing device accesses an electronic database to determine an identity of the at least one pest. Based on the determined identity of the crop-damaging pest, the computing device transmits a control signal to the unmanned vehicle to cause the insecticide output device of the unmanned vehicle to dispense one or more insecticides specific to the identified crop-damaging pest.

Abstract: A method for utilizing a drone for intermittent flights can include: receiving instructions of a flight mission with a flight route from an original location to a mission destination of the drone, wherein a plurality of stand-by locations are configured for the drone to land on along the flight route; obtaining data of the stand-by locations; scanning a first area between the original location of the drone and a first stand-by location to determine whether the first area is clear; controlling the drone to navigate over the first area along the flight route if the first area is clear; updating a drone position in real time; scanning a second area between an updated drone position and a second stand-by location to determine whether the second area is clear; and controlling the drone to land on the first stand-by location if the second area is not clear.

Abstract: An unmanned autonomous vehicle is configured to delivery packages in a product delivery network. The vehicle includes an outer housing, a conversion circuit, a battery, and a control circuit. The outer housing includes a first layer that is configured to collect solar radiation, and a second layer that is configured to render a visual display. The conversion circuit is disposed within the outer housing, and is coupled to the first layer. The conversion circuit is configured to convert the collected solar radiation to electrical charge and store the charge in a battery. The control circuit is coupled to the second layer and is configured to independently determine one or more images to render at the second layer, and to cause the one or more images to be rendered at the second layer. The solar radiation is collected at the first layer simultaneously with the images being rendered at the second layer.

Abstract: A system and method for tracking and alerting a drone flying overhead are provided herein. The method includes acquiring a first data associated with a user device position; detecting a path corresponding to movement of the user device; receiving, from a server at the user device, drone data associated with a plurality of drones; filtering the drone data to obtain a second data associated with a drone position and a respective drone route which intersects with the path; predicting an intersection area; determining a distance between the user device position and the drone position based on the first data and the second data; determining whether a determined distance is equal to or less than a preset distance; and instructing a user to change the path or the speed of travel down a path when the determined distance is equal to or less than the preset distance.

Abstract: An unmanned battery optimization vehicle includes a transceiver, a battery optimization apparatus, and a control circuit. The transceiver is configured to transmit and receive signals. The battery optimization apparatus is configured to interact with a battery disposed at an unmanned autonomous vehicle. The control circuit is coupled to the transceiver and the battery optimization apparatus. The control circuit is configured to cause the unmanned battery optimization vehicle to independently navigate and travel to a present location of the autonomous vehicle based at least in part upon the signals received at the transceiver. When the unmanned battery optimization vehicle reaches the present location of the unmanned autonomous vehicle, the control circuit is further configured to direct the battery optimization apparatus to engage in an interaction with the battery at the unmanned autonomous vehicle. The interaction is effective to optimize battery operation at the unmanned autonomous vehicle.

Abstract: In some embodiments, methods and systems are provided that provide for creating and monitoring predefined mission routes along air rails and non-overlapping buffer zones surrounding unmanned vehicles during travel of the unmanned vehicles along the predefined mission routes. The buffer zone may be thought of as a projected movement variation area being associated by the system to the UAV and containing four dimensions, the three positional dimensions, X, Y, and Z, along with a temporal one, time. Generally, the buffer zone will change as ambient conditions, location, and orientation of an unmanned vehicle change during travel of the unmanned vehicle along its predefined mission route.

Abstract: Systems, apparatuses, and methods are provided herein for providing voice-initiated conversation interface on multiple devices. Some such systems provide a voice-initiated conversation interface on multiple devices and comprise a network connector configured to communicate with one or more other user devices over a network, a user interface device configured to communicate with a user, a memory device storing at least a portion of a distributed conversation database, wherein the distributed conversation database comprises a plurality of conversation records encrypted with public keys associated with each conversation and conversation database is updated based on communications with the one or more other user devices via the network connector, and a control circuit.

Abstract: In some embodiments, methods and systems are provided that provide for controlling unmanned aerial vehicles (UAVs) experiencing emergency landings and providing emergency alerts to the predicted emergency landing locations of the UAV. Each UAV includes sensors configured to detect at least one status input associated with the UAV during flight along its flight route. Each UAV analyzes the status inputs while in flight in order to predict an emergency landing location where the UAV would land if unable to fly due to an emergency condition. The UAV is configured to transmit an alert signal to electronic devices proximate the predicted emergency landing location to notify users of the electronic devices that the unmanned aerial vehicle is going to experience an emergency landing at the predicted emergency landing location.

Abstract: In some embodiments, methods and systems are provided that provided for delivering products ordered by a customer of a retailer to a delivery destination designated by the ordering customer by way of autonomous transport vehicles configured to identify products to be dropped off at their next delivery destinations and to prepare such products for deployment while the ATVs are still en-route to their next delivery destinations, and to automatically deploy such products upon arrival at such delivery destinations.

Abstract: In some embodiments, unmanned aerial task systems are provided that comprise multiple unmanned aerial vehicles (UAV) each comprising: a UAV control circuit; a motor; and a propulsion system coupled with the motor and configured to enable the respective UAVs to move themselves; and wherein a first UAV control circuit of a first UAV of the multiple UAVs is configured to access power level data corresponding to each of the multiple UAVs, and select a second UAV of the multiple UAVs based at least in part on a power level of the second UAV relative to a threshold power level corresponding to a first task to be performed and a predicted power usage by the second UAV while utilizing a first tool system temporarily cooperated with the second UAV in performing the first task.

Abstract: A blockchain-based method includes: receiving, by a smart label via accessing a block of a blockchain stored on a computer system, a cold chain requirement for a product, wherein the smart label is affixed to a package containing the product, the cold chain requirement for the product is specified and stored by a manufacturer of the product in the block of the blockchain; storing, by the smart label, the cold chain requirement in a memory of the smart label; receiving, by the smart label, from a temperature sensor a temperature of the product, wherein the temperature sensor is affixed to the package containing the product; comparing, by the smart label, the temperature of the product with a temperature range of the product specified in the cold chain requirement; and adding, by the smart label, the temperature of the product and a time at which the temperature of the product is received by the smart label, to the blockchain, if the temperature of the product is outside of the temperature range specified in th

Abstract: In some embodiments, unmanned aerial task systems are provided that comprise multiple unmanned aerial vehicles (UAV) each comprising: a UAV control circuit; a motor; and a propulsion system coupled with the motor and configured to enable the respective UAVs to move themselves; and wherein a first UAV control circuit of a first UAV of the multiple UAVs is configured to identify a second UAV carrying a first tool system configured to perform a first function, cause a notification to be communicated to the second UAV directing the second UAV to transfer the first tool system to the first UAV, and direct a first propulsion system of the first UAV to couple with the first tool system being transferred from the second UAV.

Abstract: A method for unloading and loading a lock box are provided. An autonomous ground vehicle (AGV) stores a lock box to be delivered. The lock box includes a box body, a first set of stands and a second set of stands, and a first set of wheels and a second set of wheels. The first set of stands can extend of the lock box outwardly to contact the ground. The second set of stands can extend out of the lock box outwardly to contact the ground. It is determined that the package has been removed from the lock box and the lock box is automatically loaded onto the AGV.

Abstract: A system includes a point cloud generator configured to generate a point cloud of a store, an imaging data generator configured to generate imaging data of the store, and an analysis module. The analysis module is configured to receive the point cloud and the imaging data; combine the point cloud with the imaging data to generate an overlayed map; add date and time to the overlayed map; establish reference points in the overlayed map; receive an instruction of identifying a desired location in the overlayed map; identify the location in the overlayed map based on the reference points; identify, from the imaging data and based on the date and time, a portion of the imaging data relevant to the location; and analyze the portion of the imaging data to obtain knowledge of events or activities occurring at the location at the date and time.

Abstract: A method of managing products on a shelf by using a computer system in communication with an electronic shelf label (ESL) and a scanning device includes scanning by the scanning device the electronic shelf label attached to the shelf in a vicinity of one or more products, and detecting an out area on the shelf. The method also includes receiving by the computer system a position of the electronic shelf label transmitted by the electronic shelf label, communicating by the scanning device the location of the out area to the computer system, identifying by the computer system a location of the electronic shelf label based on the position, identifying a backroom electronic shelf label associated with products associated with the out area, and activating the backroom electronic shelf label with an action message.

Abstract: Systems, methods, and computer-readable storage media for a task management and distribution system. Systems configured as disclosed manage task distribution between various robots, drones, and autonomous vehicles. As tasks are identified as not capable of completion by the detecting robot, they are transmitted to a central task-management system which identifies a subset of robots which are capable of completing the task, determines the availability of the robots in the subset, and assigns one of those robots in the subset to complete the task.

Abstract: A support system for an autonomous robot may include a diagnostic component coupled to the autonomous robot; one or more on-board sensors coupled to the autonomous robot, the one or more on-board sensors configured to communicate with the diagnostic component; a servicing alignment engine configured to store information, the servicing alignment engine configured to communicate with the diagnostic component; and an auxiliary robot configured to communicate with the diagnostic component. The diagnostic component is configured to continuously monitor a status of the autonomous robot, determine if the status is within a predetermined operating value, and send a notification to the auxiliary robot based on the status. The auxiliary robot is configured to determine a remedial action based on a notification that the status is outside of the predetermined operating value and initiate the remedial action on the autonomous robot when the status is not within the predetermined operating value.

Abstract: The present invention is directed to systems and methods for Just-In-Time (JIT) inventory replenishment. A computer-implemented method may include: analyzing, by a sales data engine, historical sales data of products to obtain sales patterns of the products; determining a demand and a time to be replenished for each of the products; detecting, by a sensor at a retail store, an arrival of a delivery vehicle loaded with the products; autonomously unloading, via a conveyor system, the products from the delivery vehicle to a queue area of the retail store; scanning and identifying the products; ranking and ordering, by an inventory replenishment engine, the products to determine a quantity, a priority and a time to dispense each of the products; autonomously sorting the products into a plurality of carts; moving the products from the queue area to a dispensing area; and alerting assistants to automatically restock the products to sales floor.

Abstract: A system includes a product inventory engine (PIE) module and an intelligent pricing engine (IPE) module. The PIE module is configured to: receive data on an inventory of an item from one or more scanning devices; receive supply data for the item in a specified period of time; and determine an inventory level of the item based on the data and the supply data. The IPE module is configured to: receive a set of rules regulating the item; generate a decision on a price change for the item based on the inventory level of the item and the set of rules; and send the decision to one or more entities.

Abstract: A dynamic resource allocation engine which can assist in automating activities and processes within an organization. More specifically, the concepts disclosed herein can reduce operational costs by eliminating unnecessary devices, processes, and/or personnel, while also providing an efficient mechanism for testing the effects of new resources on the entire system. This is done by first combining data associated with devices, processes, and personnel, in a common (normalized) data format. This combination represents a simulation of the business or enterprise associated with the data, and can be referred to as a “resource allocation engine.” The resource allocation engine provides information about how resources are being used within the organization.