Abstract: A vehicle is configured for local operation by an on-board human operator or remote operation by a remote human operator (or teleoperator) via a computer system in communication with the vehicle. A local human operator may request that a remote human operator take operational control of the vehicle, and a bi-directional communication channel between the computer system and the vehicle is established. The remote human operator is selected based on a drive state of the vehicle, any attributes of the local human operator or the remote human operator. When the vehicle violates one or more standards under operational control of the local human operator, transfer of the operational control is recommended to the local human operator. When the vehicle violates one or more standards under the operational control of a remote human operator, the operational control of the vehicle is transferred to another remote human operator.

Abstract: This disclosure describes a system for determining an estimated user departure time from a materials handling facility. For example, a user may enter a materials handling facility to pick one or more items from the materials handling facility. Those items may be provided to an agent for processing, such as packing, while the user picks other items within the materials handling facility. To ensure that the items are processed in a timely manner and made available to the user when the user is ready to depart from the materials handling facility, the implementations discussed determine an anticipated user departure time and compare that time with an estimated processing time needed to process the items.

Abstract: 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.

Abstract: Systems and methods to increase environment awareness in remote driving applications may include a vehicle having an imaging device and a teleoperator station in communication with each other via a network. For example, audio data may be received from the vehicle and processed to identify known sounds associated with unseen objects in the environment. In addition, imaging data may be received from the vehicle and processed to identify known but unheard objects in the environment. Based on the identified sounds and/or objects, visualizations of the objects may be generated and presented to a teleoperator, and sounds associated with the objects may be amplified, synthesized, and/or emitted to the teleoperator to increase environment awareness.

Abstract: Systems and methods to ensure safe driving behaviors in remote driving applications may include a vehicle having an imaging device and a teleoperator station in communication with each other via a network. For example, a safety tunnel having various safety tunnel parameters may be generated based on location data, map data, vehicle data, and/or sensor data. Remote operation of the vehicle may be monitored with respect to the safety tunnel parameters, and various visual, audio, and/or haptic alerts or feedback may be presented or emitted for the teleoperator to encourage or enforce vehicle operation within the safety tunnel parameters. Further, various autonomous remote operation programs or control routines may be initiated or instructed to ensure safe driving behaviors of the vehicle based on the safety tunnel parameters.

Abstract: Systems and methods for fleet management of remote driving systems may include a plurality of vehicles and a plurality of teleoperators. A fleet management system may receive a plurality of tasks, and may generate or optimize assignment or allocation of the plurality of tasks to various combinations of the vehicles and teleoperators. Because the teleoperators are decoupled from the vehicles, and because the teleoperators may be dynamically coupled to vehicles via network connections to remotely operate vehicles, performance of the plurality of tasks may be optimized to improve cost, time, and efficiency associated with fleet management of remote driving systems.

Abstract: The disclosure describes an automated aerial vehicle (AAV) and system for automatically detecting a contact or an imminent contact between a propeller of the AAV and an object (e.g., human, pet, or other animal). When a contact or an imminent contact is detected, a safety profile may be executed to reduce or avoid any potential harm to the object and/or the AAV. For example, if a contact with a propeller of the AAV by an object is detected, the rotation of the propeller may be stopped to avoid harming the object. Likewise, an object detection component may be used to detect an object that is nearing a propeller, stop the rotation of the propeller, and/or navigate the AAV away from the detected object.

Abstract: 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.

Abstract: 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.

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

Abstract: 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.

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

Abstract: An illustrative battery charging device may identify a battery to be charged, and charge the identified battery using charge settings that are optimized for the identified battery. In some embodiments, the battery charging device may determine the optimized settings based on monitoring charging performance and discharge activities of the battery over time. The battery charging device may exchange data with a battery management service device, such as by exchanging battery health information, battery settings, and/or other data. The battery charging device may determine charge setting and times to charge a battery that is intended to power an unmanned aerial vehicle to complete a flight path.

Abstract: 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.

Abstract: 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.

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 the propellers, which correspondingly indicate proximities to a surface (e.g., the ground). Such ground effect sensing techniques may be utilized as a backup to other sensors (e.g., which may be determined to not be functioning properly and/or may be otherwise inhibited due factors such as to rain, snow, fog, reflections, bright sunlight, etc.).

Abstract: 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.

Abstract: The disclosure describes an automated aerial vehicle (AAV) and system for automatically detecting a contact or an imminent contact between a propeller of the AAV and an object (e.g., human, pet, or other animal). When a contact or an imminent contact is detected, a safety profile may be executed to reduce or avoid any potential harm to the object and/or the AAV. For example, if a contact with a propeller of the AAV by an object is detected, the rotation of the propeller may be stopped to avoid harming the object. Likewise, an object detection component may be used to detect an object that is nearing a propeller, stop the rotation of the propeller, and/or navigate the AAV away from the detected object.

Abstract: 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.

Abstract: 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.