Daniel Buchmueller

This disclosure describes a configuration of a multi-propeller aerial vehicle (MPAV). The components of the MPAV are designed for easy manufacture, assembly, configuration and replacement. Likewise, the configuration of the MPAV is designed for increased flight duration.

Stabilized delivery using an Unmanned Aerial Vehicle (UAV) is described. In one embodiment, the UAV includes a flight controller configured to control a flight path of the UAV, a winch mechanism secured to an underside of the UAV, a platform tethered to and extendable from the winch mechanism, and a ballast system configured to stabilize the platform. The winch mechanism may be relied upon to drop an item for delivery without landing the UAV. The winch mechanism can include a first winch… Show more

Stabilized delivery using an Unmanned Aerial Vehicle (UAV) is described. In one embodiment, the UAV includes a flight controller configured to control a flight path of the UAV, a winch mechanism secured to an underside of the UAV, a platform tethered to and extendable from the winch mechanism, and a ballast system configured to stabilize the platform. The winch mechanism may be relied upon to drop an item for delivery without landing the UAV. The winch mechanism can include a first winch mechanism secured to the UAV at a first orientation and a second winch mechanism secured to the UAV at a second orientation. Because the winch mechanism may give rise to certain design and operating considerations, various active and passive flight and/or ballast control systems are described. These systems maintain an orientation of the UAV, the platform, and/or the item during one or more stages of airborne drop delivery. Show less

A system and method for operating an automated aerial vehicle are provided wherein influences of ground effects (e.g., which may increase the effective thrusts of propellers by interfering with the respective airflows) are utilized for sensing the ground or other surfaces. In various implementations, operating parameters of the automated aerial vehicle are monitored to determine when ground effects are influencing the parameters associated with each of the propellers, which correspondingly… Show more

A system and method for operating an automated aerial vehicle are provided wherein influences of ground effects (e.g., which may increase the effective thrusts of propellers by interfering with the respective airflows) are utilized for sensing the ground or other surfaces. In various implementations, operating parameters of the automated aerial vehicle are monitored to determine when ground effects are influencing the parameters associated with each of the propellers, which correspondingly indicate proximities to a surface (e.g., the ground). Utilizing such techniques, proximities of different portions of an automated aerial vehicle to the ground or other surfaces may be determined (e.g., for detecting issues with an uneven landing area, a sloped ground, etc.). Show less

This disclosure describes an unmanned aerial vehicle ("UAV") configured to autonomously deliver items of inventory to various destinations. The UAV may receive inventory information and a destination location and autonomously retrieve the inventory from a location within a materials handling facility, compute a route from the materials handling facility to a destination and travel to the destination to deliver the inventory.

Aspects of modular airborne delivery are described. When a shipping container is provided to an airborne carrier for delivery, the airborne carrier may assess weather across a route for airborne delivery of the shipping container, evaluate an approach to drop the shipping container at a delivery zone, and calculate a remaining amount of time until a target delivery time, for example. The airborne carrier may then select components to assemble a modular unmanned aerial vehicle (UAV) based on… Show more

Aspects of modular airborne delivery are described. When a shipping container is provided to an airborne carrier for delivery, the airborne carrier may assess weather across a route for airborne delivery of the shipping container, evaluate an approach to drop the shipping container at a delivery zone, and calculate a remaining amount of time until a target delivery time, for example. The airborne carrier may then select components to assemble a modular unmanned aerial vehicle (UAV) based on those or other factors, and assemble the UAV using the selected components. The modular UAV may then be directed to deliver the shipping container according to instructions from the airborne carrier. According to the concepts described herein, flexibility and other advantages may be achieved using modular UAVs for airborne delivery. Show less

The application describes a system and process for anticipating when a user will leave a selection area within a materials handling facility and determining if a notification requesting that the user provide a tote of picked items to a drop off location should be presented to the user. For example, a user may be asked to provide items picked from a selection area for processing, such as packing, while the user is picking items from other selection areas of a materials handling facility.

This disclosure describes an unmanned aerial vehicle that may be configured during flight to optimize for agility or efficiency.

This disclosure describes systems, methods, and apparatus for automating the verification of aerial vehicle sensors as part of a pre-flight, flight departure, in-transit flight, and/or delivery destination calibration verification process. At different stages, aerial vehicle sensors may obtain sensor measurements about objects within an environment, the obtained measurements may be processed to determine information about the object, as presented in the measurements, and the processed… Show more

This disclosure describes systems, methods, and apparatus for automating the verification of aerial vehicle sensors as part of a pre-flight, flight departure, in-transit flight, and/or delivery destination calibration verification process. At different stages, aerial vehicle sensors may obtain sensor measurements about objects within an environment, the obtained measurements may be processed to determine information about the object, as presented in the measurements, and the processed information may be compared with the actual information about the object to determine a variation or difference between the information. If the variation is within a tolerance range, the sensor may be auto adjusted and operation of the aerial vehicle may continue. If the variation exceeds a correction range, flight of the aerial vehicle may be aborted and the aerial vehicle routed for a full sensor calibration. Show less

This disclosure describes a system and method for determining the center of gravity of a payload engaged by an automated aerial vehicle and adjusting components of the automated aerial vehicle and/or the engagement location with the payload so that the center of gravity of the payload is within a defined position with respect to the center of gravity of the automated aerial vehicle. Adjusting the center of gravity to be within a defined position improves the efficiency, maneuverability and… Show more

This disclosure describes a system and method for determining the center of gravity of a payload engaged by an automated aerial vehicle and adjusting components of the automated aerial vehicle and/or the engagement location with the payload so that the center of gravity of the payload is within a defined position with respect to the center of gravity of the automated aerial vehicle. Adjusting the center of gravity to be within a defined position improves the efficiency, maneuverability and safety of the automated aerial vehicle. In some implementations, the stability of the payload may also be determined to ensure that the center of gravity does not change or shift during transport due to movement of an item of the payload. Show less

This disclosure describes optimizing a clarity of images captured by a camera exposed to vibrations, such as a camera mounted on an aerial vehicle. The vibrations can be caused by rotors, motors, forces (e.g., lift, drag, etc.) acting on the UAV, environmental factors (e.g., wind, turbulence, etc.), or any other force that may cause asymmetry. An inertial measurement unit can measure the vibrations and determine a vibrational pattern imposed upon the camera. The inertial measurement unit can… Show more

This disclosure describes optimizing a clarity of images captured by a camera exposed to vibrations, such as a camera mounted on an aerial vehicle. The vibrations can be caused by rotors, motors, forces (e.g., lift, drag, etc.) acting on the UAV, environmental factors (e.g., wind, turbulence, etc.), or any other force that may cause asymmetry. An inertial measurement unit can measure the vibrations and determine a vibrational pattern imposed upon the camera. The inertial measurement unit can identify one or more dead points in the vibrational pattern, and times associated therewith. The inertial measurement unit can send the one or more dead points and/or the times associated therewith to the camera, and cause the camera to capture and/or store images at times corresponding to the one or more dead points to enable capture of images with little or no blur. Show less

Systems, methods, and apparatus are provided for enabling orientation of directional antennas even when one or more of the directional antennas are moving. Position information for each directional antenna is transmitted using an omnidirectional antenna transmitting at a low bandwidth and a low power. The position information of the directional antennas is used to orient the directional antennas so that a high bandwidth, low power wireless connection can be enabled and/or maintained between the… Show more

Systems, methods, and apparatus are provided for enabling orientation of directional antennas even when one or more of the directional antennas are moving. Position information for each directional antenna is transmitted using an omnidirectional antenna transmitting at a low bandwidth and a low power. The position information of the directional antennas is used to orient the directional antennas so that a high bandwidth, low power wireless connection can be enabled and/or maintained between the directional antennas. The position information is periodically transmitted and the orientation of the directional antennas is updated as one or more of the directional antennas move so that the wireless connection between the directional antennas is maintained. Show less

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the… Show more

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace. Show less

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the… Show more

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects. Show less

This disclosure describes an unmanned aerial vehicle ("UAV") and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV… Show more

This disclosure describes an unmanned aerial vehicle ("UAV") and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV has lost power and/or is falling at a rapid rate of descent such that, upon impact, there is a risk of damage to an object with which the UAV may collide. Upon detecting the risk of damage and prior to impact, the damage avoidance system activates a damage avoidance system having one or more protection elements that work in concert to reduce or prevent damage to the object upon impact by the UAV. Show less

An unmanned aerial vehicle (UAV) can deliver a package to a delivery destination. Packages delivered by a UAV may be lowered towards the ground while the UAV continues to fly rather than the UAV landing on the ground and releasing the package. Packages may sway during lowering as a result of wind or movement of the UAV. By modulating a rate of descent of a package, a package sway may mitigated. The lowering mechanism includes wrapping a tether in various directions around the package such that… Show more

An unmanned aerial vehicle (UAV) can deliver a package to a delivery destination. Packages delivered by a UAV may be lowered towards the ground while the UAV continues to fly rather than the UAV landing on the ground and releasing the package. Packages may sway during lowering as a result of wind or movement of the UAV. By modulating a rate of descent of a package, a package sway may mitigated. The lowering mechanism includes wrapping a tether in various directions around the package such that the package rotates in a first and second direction as the package descends. Additionally, a rip-strip lowering mechanism that separates under tension to lower the package and a rappel mechanism that slides the package down a tether may be used. Accordingly, the tether can control a descent of the package assembly. Show less

This disclosure describes a system and method for operating an automated aerial vehicle wherein the battery life may be extended by performing one or more electricity generation procedures on the way to a destination (e.g., a delivery location for an item). In various implementations, the electricity generation procedure may include utilizing an airflow to rotate one or more of the propellers of the automated aerial vehicle so that the associated propeller motors will generate electricity… Show more

This disclosure describes a system and method for operating an automated aerial vehicle wherein the battery life may be extended by performing one or more electricity generation procedures on the way to a destination (e.g., a delivery location for an item). In various implementations, the electricity generation procedure may include utilizing an airflow to rotate one or more of the propellers of the automated aerial vehicle so that the associated propeller motors will generate electricity (e.g., which can be utilized to recharge the battery, power one or more sensors of the automated aerial vehicle, etc.). In various implementations, the airflow may consist of a wind, or may be created by the kinetic energy of the automated aerial vehicle as it moves through the air (e.g., as part of a normal flight path and/or as part of an aerial maneuver). Show less

A transportation network is provided that utilizes autonomous vehicles (e.g., unmanned aerial vehicles) for identifying, acquiring, and transporting items between network locations without requiring human interaction. A travel path for an item through the transportation network may include multiple path segments and corresponding intermediate network locations, with a different autonomous vehicle utilized to transport the item along each path segment. Different possible next network locations… Show more

A transportation network is provided that utilizes autonomous vehicles (e.g., unmanned aerial vehicles) for identifying, acquiring, and transporting items between network locations without requiring human interaction. A travel path for an item through the transportation network may include multiple path segments and corresponding intermediate network locations, with a different autonomous vehicle utilized to transport the item along each path segment. Different possible next network locations for a travel path may selected based on transportation factors such as travel time, cost, safety, etc. (e.g., as may be related to distance, network congestion, inclement weather, etc.). Local processing (e.g., by a control system of an autonomous vehicle) may perform the selection of a next network location for a travel path (e.g., allowing multiple autonomous vehicles to simultaneously engage and depart with items or otherwise travel without having to contact and wait for instructions from centralized system components, etc.). Show less

Automated inspections of aerial vehicles may be performed using imaging devices, microphones or other sensors. Between phases of operation, the aerial vehicle may be instructed to perform a plurality of testing evolutions, e.g., in a sequence, at a testing facility, and data may be captured during the evolutions by sensors provided on the aerial vehicle and by ground-based sensors at the testing facility. The imaging and acoustic data may be processed to determine whether any vibrations or… Show more

Automated inspections of aerial vehicles may be performed using imaging devices, microphones or other sensors. Between phases of operation, the aerial vehicle may be instructed to perform a plurality of testing evolutions, e.g., in a sequence, at a testing facility, and data may be captured during the evolutions by sensors provided on the aerial vehicle and by ground-based sensors at the testing facility. The imaging and acoustic data may be processed to determine whether any vibrations or radiated noises during the evolutions are consistent with faults or discrepancies of the aerial vehicle such as microfractures, corrosions or fatigue. If no faults or discrepancies are detected, the aerial vehicle may be returned to service without delay. If any faults or discrepancies are detected, however, then the aerial vehicle may be subjected to maintenance, repairs or further manual or visual inspections.

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Described are methods and apparatuses for synchronizing two or more sensors of an UAV. In the implementations described, a synchronization event is performed such that identifiable signals of the synchronization event can be collected by each sensor of the UAV. The synchronization event may be generated by a synchronization event component that generates multiple output signals (e.g., audio, visual, and physical) at approximately the same time so that different sensors can each collect and… Show more

Described are methods and apparatuses for synchronizing two or more sensors of an UAV. In the implementations described, a synchronization event is performed such that identifiable signals of the synchronization event can be collected by each sensor of the UAV. The synchronization event may be generated by a synchronization event component that generates multiple output signals (e.g., audio, visual, and physical) at approximately the same time so that different sensors can each collect and store at least one of the output signals. The collected signals are then compared and the sensors are adjusted to align the signals.

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Described are systems and methods for considering a user equipment (UE) location and Evolved Node B (eNodeBs) locations as a factor in determining whether a handoff of a wireless connection between the UE and a first eNodeB to a second eNodeB should be initiated. Alternatively, the systems and methods include selection of an eNodeB with which a wireless connection is to be established. In addition to considering a signal strength for an eNodeB and determining whether to established a wireless… Show more

Described are systems and methods for considering a user equipment (UE) location and Evolved Node B (eNodeBs) locations as a factor in determining whether a handoff of a wireless connection between the UE and a first eNodeB to a second eNodeB should be initiated. Alternatively, the systems and methods include selection of an eNodeB with which a wireless connection is to be established. In addition to considering a signal strength for an eNodeB and determining whether to established a wireless communication or initiate a handoff based on the signal strength, the UE location and eNodeB locations may likewise considered. Likewise, a navigation path or anticipated trajectory of the UE may also be considered when selecting an eNodeB with which a wireless communication is to be established or to which a handoff of an existing wireless communication is to be initiated.

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This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the… Show more

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, a multispectral signature emitted or reflected by the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace.

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This disclosure describes systems, methods, and apparatus for automating the verification of aerial vehicle sensors as part of a pre-flight, flight departure, in-transit flight, and/or delivery destination calibration verification process. At different stages, aerial vehicle sensors may obtain sensor measurements about objects within an environment, the obtained measurements may be processed to determine information about the object, as presented in the measurements, and the processed… Show more

This disclosure describes systems, methods, and apparatus for automating the verification of aerial vehicle sensors as part of a pre-flight, flight departure, in-transit flight, and/or delivery destination calibration verification process. At different stages, aerial vehicle sensors may obtain sensor measurements about objects within an environment, the obtained measurements may be processed to determine information about the object, as presented in the measurements, and the processed information may be compared with the actual information about the object to determine a variation or difference between the information. If the variation is within a tolerance range, the sensor may be auto adjusted and operation of the aerial vehicle may continue. If the variation exceeds a correction range, flight of the aerial vehicle may be aborted and the aerial vehicle routed for a full sensor calibration.

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An unmanned aerial vehicle (UAV) can deliver a package to a delivery destination. Packages delivered by a UAV may be lowered towards the ground while the UAV continues to fly rather than the UAV landing on the ground and releasing the package. Packages may sway during lowering as a result of wind or movement of the UAV. A package sway may be monitored and mitigated by rapidly paying out a tether, when using a winch mechanism, to dissipate the energy of the sway as downward energy. Further, the… Show more

An unmanned aerial vehicle (UAV) can deliver a package to a delivery destination. Packages delivered by a UAV may be lowered towards the ground while the UAV continues to fly rather than the UAV landing on the ground and releasing the package. Packages may sway during lowering as a result of wind or movement of the UAV. A package sway may be monitored and mitigated by rapidly paying out a tether, when using a winch mechanism, to dissipate the energy of the sway as downward energy. Further, the UAV may navigate in the direction of the sway or reduce the altitude of the UAV to dissipate the energy of the sway. Open-loop and/or closed loop drop techniques may be utilized to lower a package from the UAV, and the package may be released in the air or on the ground.

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Techniques described herein include a system and method for aggregating multiple data streams related to a drone mission event into a single data stream. In this disclosure, a service provider may receive multiple data streams from various data sources in either real time, post facto, or a combination of the two. The data streams may be synchronized and combined using multiplexing techniques. Additionally, one or more observers are provided with the capability to append log entries to the data… Show more

Techniques described herein include a system and method for aggregating multiple data streams related to a drone mission event into a single data stream. In this disclosure, a service provider may receive multiple data streams from various data sources in either real time, post facto, or a combination of the two. The data streams may be synchronized and combined using multiplexing techniques. Additionally, one or more observers are provided with the capability to append log entries to the data streams at particular time markers. In some embodiments, the time markers associated with a log entry may be updated at a later time to more accurately reflect events.

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A system and method for operating an automated aerial vehicle are provided wherein influences of ground effects (e.g., which may increase the effective thrusts of propellers by interfering with the respective airflows) are utilized for sensing the ground or other surfaces. In various implementations, operating parameters of the automated aerial vehicle are monitored to determine when ground effects are influencing the parameters associated with each of the propellers, which correspondingly… Show more

A system and method for operating an automated aerial vehicle are provided wherein influences of ground effects (e.g., which may increase the effective thrusts of propellers by interfering with the respective airflows) are utilized for sensing the ground or other surfaces. In various implementations, operating parameters of the automated aerial vehicle are monitored to determine when ground effects are influencing the parameters associated with each of the propellers, which correspondingly indicate proximities to a surface (e.g., the ground). Utilizing such techniques, different propellers of an automated aerial vehicle may provide different sensing data (e.g., for detecting issues with an uneven landing area, a sloped ground, determining an automated aerial vehicle's location based on a unique ground surface profile, etc.)

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This disclosure describes an unmanned aerial vehicle that may be configured during flight to optimize for agility or efficiency.

An automated aerial vehicle ("AAV") and systems, devices, and techniques pertaining to moveable ballast that is movable onboard the AAV during operation and/or flight. The AAV may include a frame or support structure that includes the movable ballast. A ballast controller may be used to cause movement of the ballast based on one or more factors, such as a type of flight, a type of operation of the AAV, a speed of the AAV, a triggering event, and/or other factors. The ballast may be moved using… Show more

An automated aerial vehicle ("AAV") and systems, devices, and techniques pertaining to moveable ballast that is movable onboard the AAV during operation and/or flight. The AAV may include a frame or support structure that includes the movable ballast. A ballast controller may be used to cause movement of the ballast based on one or more factors, such as a type of flight, a type of operation of the AAV, a speed of the AAV, a triggering event, and/or other factors. The ballast may be moved using mechanical, electrical, electromagnetic, pneumatic, hydraulic and/or other devices/techniques described herein. In some embodiments, the ballast may be moved or located in or toward a centralized position in the AAV to enable more agile control of the AAV. The ballast may be moved outward from the centralized location of the AAV to enable more stable control of the AAV.
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This disclosure describes a configuration of an unmanned aerial vehicle (UAV) that will facilitate extended flight duration. The UAV may have any number of lifting motors. For example, the UAV may include four lifting motors (also known as a quad-copter), eight lifting motors (octo-copter), etc. Likewise, to improve the efficiency of horizontal flight, the UAV also includes a pushing motor and propeller assembly that is oriented at approximately ninety degrees to one or more of the lifting… Show more

This disclosure describes a configuration of an unmanned aerial vehicle (UAV) that will facilitate extended flight duration. The UAV may have any number of lifting motors. For example, the UAV may include four lifting motors (also known as a quad-copter), eight lifting motors (octo-copter), etc. Likewise, to improve the efficiency of horizontal flight, the UAV also includes a pushing motor and propeller assembly that is oriented at approximately ninety degrees to one or more of the lifting motors. When the UAV is moving horizontally, the pushing motor may be engaged and the pushing propeller will aid in the horizontal propulsion of the UAV.

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Unmanned aerial vehicles ("UAVs") which fly to destinations (e.g., for delivering items) may land on transportation vehicles (e.g., delivery trucks, etc.) for temporary transport. An agreement with the owner of the transportation vehicles (e.g., a shipping carrier) may be made for obtaining consent and determining compensation for landings, and the associated transportation vehicles that are available for landings may be identified by markers on the roof or other identification techniques. The… Show more

Unmanned aerial vehicles ("UAVs") which fly to destinations (e.g., for delivering items) may land on transportation vehicles (e.g., delivery trucks, etc.) for temporary transport. An agreement with the owner of the transportation vehicles (e.g., a shipping carrier) may be made for obtaining consent and determining compensation for landings, and the associated transportation vehicles that are available for landings may be identified by markers on the roof or other identification techniques. The routes of the transportation vehicles may be known and utilized to determine locations where UAVs will land on and take off from the transportation vehicles, and in cases of emergencies (e.g., due to low batteries, mechanical issues, etc.) the UAVs may land on the transportation vehicles for later retrieval. Show less

This disclosure describes an automated aerial vehicle that includes one or more object detection elements configured to detect the presence of objects and an avoidance determining element configured to cause the automated aerial vehicle to automatically determine and execute an avoidance maneuver to avoid the objects. For example, an object may be detected and an avoidance maneuver determined based on a position of the object and an object vector representative of a direction and a magnitude of… Show more

This disclosure describes an automated aerial vehicle that includes one or more object detection elements configured to detect the presence of objects and an avoidance determining element configured to cause the automated aerial vehicle to automatically determine and execute an avoidance maneuver to avoid the objects. For example, an object may be detected and an avoidance maneuver determined based on a position of the object and an object vector representative of a direction and a magnitude of velocity of the object. Show less

A transportation network is provided that utilizes autonomous vehicles (e.g., unmanned aerial vehicles) for identifying, acquiring, and transporting items between network locations without requiring human interaction. A travel path for an item through the transportation network may include a passing of the item from one autonomous vehicle to another or otherwise utilizing different autonomous vehicles for transporting the item along different path segments (e.g., between different network… Show more

A transportation network is provided that utilizes autonomous vehicles (e.g., unmanned aerial vehicles) for identifying, acquiring, and transporting items between network locations without requiring human interaction. A travel path for an item through the transportation network may include a passing of the item from one autonomous vehicle to another or otherwise utilizing different autonomous vehicles for transporting the item along different path segments (e.g., between different network locations). Different possible travel paths through the transportation network may be evaluated, and a travel path for an item may be selected based on transportation factors such as travel time, cost, safety, etc., which may include consideration of information regarding current conditions (e.g., related to network congestion, inclement weather, etc.). Autonomous vehicles of different sizes, carrying capacities, travel ranges, travel speeds, etc. may be utilized for further improving the flexibility and efficiency of the system for transporting items. Show less

Devices such as vehicles, remote sensors, and so forth consume energy during operation. Described herein are systems, devices, and methods for transferring energy from an uncrewed autonomous vehicle to a vehicle such as a car. The uncrewed autonomous vehicle may locate the vehicle at a rendezvous location, and connect with the vehicle while the vehicle moves. Once the uncrewed autonomous vehicle connects to the vehicle, the uncrewed autonomous vehicle may transfer the energy to the vehicle.

This disclosure describes a configuration of a multi-propeller aerial vehicle (MPAV). The components of the MPAV are designed for easy manufacture, assembly, configuration and replacement. Likewise, the configuration of the MPAV is designed for increased flight duration.

This disclosure describes a system and method for operating an automated aerial vehicle wherein influences of a ground effect may be utilized for sensing the ground or other surfaces. In various implementations, an operating parameter of the automated aerial vehicle may be monitored to determine when a ground effect is influencing the parameter, which correspondingly indicates a proximity to a surface (e.g., the ground). In various implementations, the ground effect based sensing techniques may… Show more

This disclosure describes a system and method for operating an automated aerial vehicle wherein influences of a ground effect may be utilized for sensing the ground or other surfaces. In various implementations, an operating parameter of the automated aerial vehicle may be monitored to determine when a ground effect is influencing the parameter, which correspondingly indicates a proximity to a surface (e.g., the ground). In various implementations, the ground effect based sensing techniques may be utilized for determining a proximity to the ground, as a backup for a primary sensor system, for determining if a landing location is uneven, etc. Show less

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the… Show more

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects. Show less

Described is an airborne monitoring station ("AMS") for use in monitoring a coverage area and/or unmanned aerial vehicles ("UAVs") positioned within a coverage area of the AMS. For example, the AMS may be an airship that remains at a high altitude (e.g., 45,000 feet) that monitors a coverage area that is within a line-of-sight of the AMS. As UAVs enter, navigate within and exit the coverage area, the AMS may wirelessly communicate with the UAVs, facilitate communication between the UAVs and one… Show more

Described is an airborne monitoring station ("AMS") for use in monitoring a coverage area and/or unmanned aerial vehicles ("UAVs") positioned within a coverage area of the AMS. For example, the AMS may be an airship that remains at a high altitude (e.g., 45,000 feet) that monitors a coverage area that is within a line-of-sight of the AMS. As UAVs enter, navigate within and exit the coverage area, the AMS may wirelessly communicate with the UAVs, facilitate communication between the UAVs and one or more remote computing resources, and/or monitor a position of the UAVs. Show less

Stabilized airborne drop delivery using an Unmanned Aerial Vehicle (UAV) is described. In one embodiment, the UAV includes a flight controller configured to control a flight path of the UAV, a winch mechanism secured to an underside of the UAV, a platform tethered to and extendable from the winch mechanism, and a ballast system configured to stabilize the platform. The winch mechanism may be relied upon to drop an item for delivery without landing the UAV. Because the use of the winch mechanism… Show more

Stabilized airborne drop delivery using an Unmanned Aerial Vehicle (UAV) is described. In one embodiment, the UAV includes a flight controller configured to control a flight path of the UAV, a winch mechanism secured to an underside of the UAV, a platform tethered to and extendable from the winch mechanism, and a ballast system configured to stabilize the platform. The winch mechanism may be relied upon to drop an item for delivery without landing the UAV. Because the use of the winch mechanism may give rise to certain design and operating considerations, various active and passive flight and/or ballast control systems are described. These systems are configured to maintain an orientation of the UAV, the platform, and/or the item during one or more stages of airborne drop delivery. Show less

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the… Show more

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the objet. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's air-space. Show less

A tether compensated unmanned aerial vehicle (UAV) is described. In one embodiment, the UAV includes a winch with a tether to lower an item from the UAV for delivery, a flight controller to control a flight path of the UAV, a tether compensation mechanism through which the tether extends, at least one sensor to identify movement in the tether, and a tether response controller. Based on movement identified in the tether, the tether response controller may determine a complementary response and… Show more

A tether compensated unmanned aerial vehicle (UAV) is described. In one embodiment, the UAV includes a winch with a tether to lower an item from the UAV for delivery, a flight controller to control a flight path of the UAV, a tether compensation mechanism through which the tether extends, at least one sensor to identify movement in the tether, and a tether response controller. Based on movement identified in the tether, the tether response controller may determine a complementary response and direct the tether compensation mechanism to brace the tether against the movement. Thus, the tether compensation mechanism may stabilize sway or movement in the tether by moving against the sway or movement, which may help prevent the tether from undesirable swinging when lowering the item from the UAV for delivery, for example, or at other times. Show less

This disclosure describes an unmanned aerial vehicle that may be configured during flight to optimize for agility or efficiency.

This disclosure describes an unmanned aerial vehicle ("UAV") and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV… Show more

This disclosure describes an unmanned aerial vehicle ("UAV") and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV has lost power and/or is falling at a rapid rate of descent such that, upon impact, there is a risk of damage to an object with which the UAV may collide. Upon detecting the risk of damage and prior to impact, the damage avoidance system activates a damage avoidance system having one or more protection elements that work in concert to reduce or prevent damage to the object upon impact by the UAV. Show less

This disclosure describes a configuration of an unmanned aerial vehicle (UAV) that will facilitate extended flight duration. The UAV may have any number of lifting motors. For example, the UAV may include four lifting motors (also known as a quad-copter), eight lifting motors (octo-copter), etc. Likewise, to improve the efficiency of horizontal flight, the UAV also includes a thrusting motor and propeller assembly that is oriented at approximately ninety degrees to one or more of the lifting… Show more

This disclosure describes a configuration of an unmanned aerial vehicle (UAV) that will facilitate extended flight duration. The UAV may have any number of lifting motors. For example, the UAV may include four lifting motors (also known as a quad-copter), eight lifting motors (octo-copter), etc. Likewise, to improve the efficiency of horizontal flight, the UAV also includes a thrusting motor and propeller assembly that is oriented at approximately ninety degrees to one or more of the lifting motors. When the UAV is moving horizontally, it may be determined if the horizontal airspeed of the UAV exceeds an airspeed threshold. If the horizontal airspeed exceeds the airspeed threshold, the thrusting motor may be engaged and the thrusting propeller will aid in the horizontal propulsion of the UAV. Show less

Systems, methods, and apparatus are provided for enabling orientation of directional antennas even when one or more of the directional antennas are moving. Position information for each directional antenna is transmitted using an omnidirectional antenna transmitting at a low bandwidth and a low power. The position information of the directional antennas is used to orient the directional antennas so that a high bandwidth, low power wireless connection can be enabled and/or maintained between the… Show more

Systems, methods, and apparatus are provided for enabling orientation of directional antennas even when one or more of the directional antennas are moving. Position information for each directional antenna is transmitted using an omnidirectional antenna transmitting at a low bandwidth and a low power. The position information of the directional antennas is used to orient the directional antennas so that a high bandwidth, low power wireless connection can be enabled and/or maintained between the directional antennas. The position information is periodically transmitted and the orientation of the directional antennas is updated as one or more of the directional antennas move so that the wireless connection between the directional antennas is maintained. Show less

This disclosure describes an unmanned aerial vehicle ("UAV"​) configured to autonomously deliver items of inventory to various destinations. The UAV may receive inventory information and a destination location and autonomously retrieve the inventory from a location within a materials handling facility, compute a route from the materials handling facility to a destination and travel to the destination to deliver the inventory.

Described are methods and apparatuses for synchronizing two or more sensors of an UAV. In the implementations described, a synchronization event is performed such that identifiable signals of the synchronization event can be collected by each sensor of the UAV. The synchronization event may be generated by a synchronization event component that generates multiple output signals (e.g., audio, visual, and physical) at approximately the same time so that different sensors can each collect and… Show more

Described are methods and apparatuses for synchronizing two or more sensors of an UAV. In the implementations described, a synchronization event is performed such that identifiable signals of the synchronization event can be collected by each sensor of the UAV. The synchronization event may be generated by a synchronization event component that generates multiple output signals (e.g., audio, visual, and physical) at approximately the same time so that different sensors can each collect and store at least one of the output signals. The collected signals are then compared and the sensors are adjusted to align the signals. Show less

This disclosure describes a system and method for operating an automated aerial vehicle wherein the battery life may be extended by performing one or more electricity generation procedures on the way to a destination (e.g., a delivery location for an item). In various implementations, the electricity generation procedure may include utilizing an airflow to rotate one or more of the propellers of the automated aerial vehicle so that the associated propeller motors will generate electricity… Show more

This disclosure describes a system and method for operating an automated aerial vehicle wherein the battery life may be extended by performing one or more electricity generation procedures on the way to a destination (e.g., a delivery location for an item). In various implementations, the electricity generation procedure may include utilizing an airflow to rotate one or more of the propellers of the automated aerial vehicle so that the associated propeller motors will generate electricity (e.g., which can be utilized to recharge the battery, power one or more sensors of the automated aerial vehicle, etc.). In various implementations, the airflow may consist of a wind, or may be created by the kinetic energy of the automated aerial vehicle as it moves through the air (e.g., as part of a normal flight path and/or as part of an aerial maneuver). Show less

This disclosure describes a system and method for determining the center of gravity of a payload engaged by an automated aerial vehicle and adjusting components of the automated aerial vehicle and/or the engagement location with the payload so that the center of gravity of the payload is within a defined position with respect to the center of gravity of the automated aerial vehicle. Adjusting the center of gravity to be within a defined position improves the efficiency, maneuverability and… Show more

This disclosure describes a system and method for determining the center of gravity of a payload engaged by an automated aerial vehicle and adjusting components of the automated aerial vehicle and/or the engagement location with the payload so that the center of gravity of the payload is within a defined position with respect to the center of gravity of the automated aerial vehicle. Adjusting the center of gravity to be within a defined position improves the efficiency, maneuverability and safety of the automated aerial vehicle. In some implementations, the stability of the payload may also be determined to ensure that the center of gravity does not change or shift during transport due to movement of an item of the payload. Show less

Described are systems and methods for considering a user equipment (UE) location and Evolved Node B (eNodeBs) locations as a factor in determining whether a handoff of a wireless connection between the UE and a first eNodeB to a second eNodeB should be initiated. Alternatively, the systems and methods include selection of an eNodeB with which a wireless connection is to be established. In addition to considering a signal strength for an eNodeB and determining whether to established a wireless… Show more

Described are systems and methods for considering a user equipment (UE) location and Evolved Node B (eNodeBs) locations as a factor in determining whether a handoff of a wireless connection between the UE and a first eNodeB to a second eNodeB should be initiated. Alternatively, the systems and methods include selection of an eNodeB with which a wireless connection is to be established. In addition to considering a signal strength for an eNodeB and determining whether to established a wireless communication or initiate a handoff based on the signal strength, the UE location and eNodeB locations may likewise considered. Likewise, a navigation path or anticipated trajectory of the UE may also be considered when selecting an eNodeB with which a wireless communication is to be established or to which a handoff of an existing wireless communication is to be initiated. Show less

Systems, methods, and computer-readable media for responding to a search query with search results ranked according to interest circles of a plurality of computer users are presented. Interest circles are formed from a computer user's navigation data, including the computer user's navigation history. A search query is received from a requesting computer user. The search query is directed to a query topic or set of query topics. A set of search results responsive to the search query are… Show more

Systems, methods, and computer-readable media for responding to a search query with search results ranked according to interest circles of a plurality of computer users are presented. Interest circles are formed from a computer user's navigation data, including the computer user's navigation history. A search query is received from a requesting computer user. The search query is directed to a query topic or set of query topics. A set of search results responsive to the search query are obtained. A plurality of computer users, each of the plurality of computer users having an established interest circle corresponding to the query topic, is identified. The set of search results are then ordered according to the interest circles of the identified plurality of computer users. Thereafter, the higher ordered search results are returned to the requesting computer user in response to the search query. Show less

Aspects of modular airborne delivery are described. When a shipping container is provided to an airborne carrier for delivery, the airborne carrier may assess weather across a route for airborne delivery of the shipping container, evaluate an approach to drop the shipping container at a delivery zone, and calculate a remaining amount of time until a target delivery time, for example. The airborne carrier may then select components to assemble a modular unmanned aerial vehicle (UAV) based on… Show more

Aspects of modular airborne delivery are described. When a shipping container is provided to an airborne carrier for delivery, the airborne carrier may assess weather across a route for airborne delivery of the shipping container, evaluate an approach to drop the shipping container at a delivery zone, and calculate a remaining amount of time until a target delivery time, for example. The airborne carrier may then select components to assemble a modular unmanned aerial vehicle (UAV) based on those or other factors, and assemble the UAV using the selected components. The modular UAV may then be directed to deliver the shipping container according to instructions from the airborne carrier. According to the concepts described herein, flexibility and other advantages may be achieved using modular UAVs for airborne delivery. Show less

This disclosure is directed to a single blade propeller and systems, devices, and techniques pertaining to assisting in critical stages of flight (e.g., takeoff, landing, emergency situations, etc.) in vertical takeoff and landing (VTOL) aircraft. The single blade propeller may be incorporated into fixed and rotary wing VTOL aircraft as part of a first propulsion system. The first propulsion system may include one or more single blade propellers driven by electric motors, combustion engines… Show more

This disclosure is directed to a single blade propeller and systems, devices, and techniques pertaining to assisting in critical stages of flight (e.g., takeoff, landing, emergency situations, etc.) in vertical takeoff and landing (VTOL) aircraft. The single blade propeller may be incorporated into fixed and rotary wing VTOL aircraft as part of a first propulsion system. The first propulsion system may include one or more single blade propellers driven by electric motors, combustion engines, and/or hybrid engines. Each of the single blade propellers may include a lift-producing blade and a counterweight opposite the lift-producing blade. As each of the single blade propellers spins, it may produce lift in a direction approximately perpendicular to the horizon to effect vertical flight. Show less

An image matching system is described for finding reference images which match a query image. The image matching system performs this operation in expeditious fashion by restricting the matching to a bounding region; the bounding region, in turn, may be associated with a location at which the query image may have been captured. In addition, the image matching system provides various mechanisms that expedite adding new reference images to an image index, to thereby provide a re-enforced learning… Show more

An image matching system is described for finding reference images which match a query image. The image matching system performs this operation in expeditious fashion by restricting the matching to a bounding region; the bounding region, in turn, may be associated with a location at which the query image may have been captured. In addition, the image matching system provides various mechanisms that expedite adding new reference images to an image index, to thereby provide a re-enforced learning mechanism of the image matching system. Show less

A request may be received that includes an indicator associated with a geographic location and scope. A database search may be initiated, based on the geographic location and scope. A list of one or more tags may be received, the tags associated with the geographic location, ordered based on relevance within the geographic scope, based on tag locale rankings associated with each of the tags included in the list of tags, the tag locale rankings based on comparisons of relative frequencies of… Show more

A request may be received that includes an indicator associated with a geographic location and scope. A database search may be initiated, based on the geographic location and scope. A list of one or more tags may be received, the tags associated with the geographic location, ordered based on relevance within the geographic scope, based on tag locale rankings associated with each of the tags included in the list of tags, the tag locale rankings based on comparisons of relative frequencies of occurrence of the tags, based on first bounded geographic areas, compared with second relative frequencies of occurrence of the tags based on second bounded geographic areas that are respectively larger than the first bounded geographic areas, the request geographic scope indicating one of a plurality of hierarchical geographic analysis levels associated with a plurality of geographic locations.
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This disclosure describes an unmanned aerial vehicle (“UAV”) configured to autonomously deliver items of inventory to various destinations. The UAV may receive inventory information and a destination location and autonomously retrieve the inventory from a location within a materials handling facility, compute a route from the materials handling facility to a destination and travel to the destination to deliver the inventory.

This disclosure describes a system and method for operating an automated aerial vehicle wherein influences of a ground effect may be utilized for sensing the ground or other surfaces. In various implementations, an operating parameter of the automated aerial vehicle may be monitored to determine when a ground effect is influencing the parameter, which correspondingly indicates a proximity to a surface (e.g., the ground). In various implementations, the ground effect based sensing techniques may… Show more

This disclosure describes a system and method for operating an automated aerial vehicle wherein influences of a ground effect may be utilized for sensing the ground or other surfaces. In various implementations, an operating parameter of the automated aerial vehicle may be monitored to determine when a ground effect is influencing the parameter, which correspondingly indicates a proximity to a surface (e.g., the ground). In various implementations, the ground effect based sensing techniques may be utilized for determining a proximity to the ground, as a backup for a primary sensor system, for determining if a landing location is uneven, etc. Show less

Actions, such as adding new connection to a social graph, may be performed through picture taking. In one example, a user takes a picture of one or more people,. The face in the picture may be sent to a social network for identification. The social network may use various resources to identify the face, including the social network's picture database and its social graph. When the person in the picture has been identified, the user may indicate an action (e.g., "adding as a friend" in a social… Show more

Actions, such as adding new connection to a social graph, may be performed through picture taking. In one example, a user takes a picture of one or more people,. The face in the picture may be sent to a social network for identification. The social network may use various resources to identify the face, including the social network's picture database and its social graph. When the person in the picture has been identified, the user may indicate an action (e.g., "adding as a friend" in a social network) to be performed with respect to the identified person. The action requested by the user may be then performed with respect to the identified person. Show less