Abstract: This disclosure is directed to an automated aerial vehicle (“AAV”) and systems, devices, and techniques pertaining to canceling noise, generating audible communications, and/or generating visible communications. The AAV may include one or more propellers utilized, in part, to produce sound that cancels noise generated by one or more other propellers. Additionally or alternatively, the AAV may utilize one or more propellers to generate audible and/or visible communications.

Abstract: This disclosure describes an unmanned aerial vehicle (“UAV”) that includes a lifting motor and lifting propeller that operate at a rotational speed to generate a force sufficient to maintain the UAV at an altitude. The UAV also includes a plurality of maneuverability motors and propellers that are utilized to stabilize and maneuver the UAV. When a maneuverability command is received, the forces to be generated by each of the maneuverability propellers are determined without considering the full effects of gravity because the lifting motor and lifting propeller effectively cancel out the force of gravity acting upon the UAV.

Abstract: Mechanical vibrations are generated on a frame of an aerial vehicle as a response to operation of the aerial vehicle, such as rotation of motors and/or propellers. Likewise, environmental conditions, such as wind, humidity, etc., may also cause vibrations on the frame of aerial vehicles. These vibrations may be destructive to the aerial vehicle, impact stability of the aerial vehicle, and/or result in audible sounds. Disclosed are systems and methods for measuring and/or predicting the vibrations on the frame of the aerial vehicle, generating anti-vibrations, and outputting those anti-vibrations such that the anti-vibrations modify vibrations on the frame of the aerial vehicle.

Abstract: Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources.

Abstract: Intermodal vehicles may be loaded with items and an aerial vehicle, and directed to travel to areas where demand for the items is known or anticipated. The intermodal vehicles may be coupled to locomotives, container ships, road tractors or other vehicles, and equipped with systems for loading one or more items onto the aerial vehicle, and for launching or retrieving the aerial vehicle while the intermodal vehicles are in motion. The areas where the demand is known or anticipated may be identified on any basis, including but not limited to past histories of purchases or deliveries to such areas, or events that are scheduled to occur in such areas. Additionally, intermodal vehicles may be loaded with replacement parts and/or inspection equipment, and configured to conduct repairs, servicing operations or inspections on aerial vehicles within the intermodal vehicles, while the intermodal vehicles are in motion.

Abstract: 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.

Abstract: Described are methods and apparatus for altering the sound generated by a motor during operation. For example, the implementations described herein include a motor in which the spacing between the rotor magnets is non-uniform (i.e., the spacing varies between rotor magnets). With non-uniform spacing of the rotor magnets, the sound generated during operation of the motor is altered. In still other implementations, the spacing or alignment of the electromagnetic coils of the stator may also be non-uniform or irregularly spaced.

Abstract: The described apparatus and method enable alteration of motor properties during operation of a motor. For example, the rotor of the motor may be adjustable, during motor operation, between a first diameter and a larger, second diameter. When the diameter of the rotor increases, the distance between the electromagnetic coils of the stator and the magnets of the rotor increases, thereby reducing the back-electromotor force (back-EMF) of the motor. When the back-EMF of the motor decreases, the torque of the motor decreases but the maximum revolutions per minute (RPM) increases. When the diameter of the rotor decreases, the distance between the electromagnetic coils of the stator and the magnets of the rotor decreases, thereby increasing the back-EMF of the motor. When the back-EMF of the motor increases, the torque of the motor increases but the maximum RPM decreases.

Abstract: 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.

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

Abstract: Aerial vehicles may be operated with discrete sets of propellers, which may be selected for a specific purpose or on a specific basis. The discrete sets of propellers may be operated separately or in tandem with one another, and at varying power levels. For example, a set of propellers may be selected to optimize the thrust, lift, maneuverability or efficiency of an aerial vehicle based on a position or other operational characteristic of the aerial vehicle, or an environmental condition encountered by the aerial vehicle. At least one of the propellers may be statically or dynamically imbalanced, such that the propeller emits a predetermined sound during operation. A balanced propeller may be specifically modified to cause the aerial vehicle to emit the predetermined sound by changing one or more parameters of the balanced propeller and causing the balanced propeller to be statically or dynamically imbalanced.

Abstract: A package delivery system can be implemented to forcefully propel a package from an unmanned aerial vehicle (UAV), while the UAV is in motion. The UAV can apply a force onto the package that alters its descent trajectory from a parabolic path to a vertical descent path. The package delivery system can apply the force onto the package in a number of different ways. For example, pneumatic actuators, electromagnets, spring coils, and parachutes can generate the force that establishes the vertical descent path of the package. Further, the package delivery system can also monitor the package during its vertical descent. The package can be equipped with one or more control surfaces. Instructions can be transmitted from the UAV via an RF module that cause the one or more controls surfaces to alter the vertical descent path of the package to avoid obstructions or to regain a stable orientation.

Abstract: Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources.

Abstract: 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.

Abstract: Systems and methods for providing a multi-direction wind tunnel, or “windball,” are disclosed. The system can have a series of fans configured to provide air flow in a plurality of directions to enable accurate testing of aircraft, unmanned aerial vehicles (UAVs), and other vehicles capable of multi-dimensional flight. The system can comprise a spherical or polyhedral test chamber with a plurality of fans. The fans can be arranged in pairs, such that a first fan comprises an intake fan and a second fan comprises an exhaust fan. The direction of the air flow can be controlled by activating one or more pairs of fans, each pair of fan creating a portion of the air flow in a particular direction. The direction of the air flow can also be controlled by rotating one or more pairs of fans with respect to the test chamber on a gimbal device, or similar.

Abstract: Aerial vehicles may be operated with discrete sets of propellers, which may be selected for a specific purpose or on a specific basis. The discrete sets of propellers may be operated separately or in tandem with one another, and at varying power levels. For example, a set of propellers may be selected to optimize the thrust, lift, maneuverability or efficiency of an aerial vehicle based on a position or other operational characteristic of the aerial vehicle, or an environmental condition encountered by the aerial vehicle. At least one of the propellers may be statically or dynamically imbalanced, such that the propeller emits a predetermined sound during operation. A balanced propeller may be specifically modified to cause the aerial vehicle to emit the predetermined sound by changing one or more parameters of the balanced propeller and causing the balanced propeller to be statically or dynamically imbalanced.

Abstract: This disclosure describes a configuration of an aerial vehicle, such as an unmanned aerial vehicle, in which one or more of the propellers are positioned within a duct that includes an active airflow channel within the interior of the duct. The active airflow channel actively moves within the duct so that it remains aligned with the tips of the blades of the propeller within the duct. As the propeller and the active airflow channel rotate, at least some of the airflow structures (e.g., vortices) shed from the blades of the propeller are collected by the active airflow channel and channeled away from the propeller so that a following blade of the propeller does not pass through the collected airflow structures.

Abstract: 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.

Abstract: This disclosure is directed to varying a speed of one or more motors in an unmanned aerial vehicle (UAV) to reduce unwanted sound (i.e., noise) of the UAV. A UAV may include motors coupled with propellers to provide lift and propulsion to the UAV in various stages of flight, such as while ascending, descending, hovering, or transiting. The motors and propellers may generate noise, which may include a number of noise components such as tonal noise (e.g., a whining noise such as a whistle of a kettle at full boil) and broadband noise (e.g., a complex mixture of sounds of different frequencies, such as the sound of ocean surf). By varying the controls to the motors, such as by varying the speed or revolutions per minute (RPM) of a motor during operation by providing random or pseudo-random RPM variations, the UAV may generate a noise signature with reduced tonal noise.

Abstract: Techniques for representing and publishing an interactive document useful for analyzing data. The document may be represented as a directed acyclic graph of entities interconnected by edges. The entities may be of multiple types. Yet, a broad range of interactive documents may be represented by a limited number of types of entities and the capabilities to interconnect entities of different types and to share a data schema across entities of different types. A tool may enable a user to author such documents. The tool may also facilitate publishing of the document. For publishing, the document may be converted to an executable form. Prior to such a conversion, the graph may be modified for more efficient processing. The graph may also be partitioned such that portions of the graph, when distributed across tiers of a computing system, such as a cloud-based platform, execute on computing devices that provide efficient operation.