Amazon Technologies, Inc.

Fabian Hensel

Daniel Buchmueller

Gur Kimchi

Brian C Beckman

Scott A Green

Amir Navot

Severan Sylvain Jean-Michel Rault

Brandon William Porter

Scott M Isaacs

Avi Bar-Zeev

Ricky Dean Welsh

Louis LeRoi LeGrand, Iii

Joshua White Traube

Walker Chamberlain Robb

Atishkumar Kalyan

Jack Erdozain, Jr

Sheridan Leigh Martin

David Lindskog

Louis Leroi Legrand

Scott Michael Wilcox

Camerin Cole Hahn

Ronald Eugene Huebner

John Clark Coonley Duksta

Michael Bolotski

Jon Lewis Lindskog

Samuel Park

Nathan Stuart Friendly

Christopher Aden Maynor

Ishwarya Ananthabhotla

Severan Sylvain Rault

Jesper Mikael Johansson

Jon Arron McClintock

Varadarajan Gopalakrishnan

Andrew Jay Roths

Avi Bar-zeev

Louis Leroi Iii Legrand

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.

Aerial vehicle delivery location

Navigation beacons may be trained to receive signals of opportunity from one or more vehicles, to recognize their own position based on such signals, and to transmit information regarding their own position to one or more other vehicles accordingly. The navigation beacons may be of small size and feature a basic construction including one or more transceivers, power sources and the like, and may communicate via a Bluetooth&#xae; Low Energy, Ultra Wideband or long-range low-power wireless standard, or any other standard. The navigation beacons may be installed in any location, preferably being mounted to one or more existing fixed structures or facilities (e.g., transportation structures or facilities), and may operate in active and/or passive modes when learning their positions or servicing position information to one or more remote devices.

Organic navigational beacons

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.

Automatic battery charging

An unmanned aerial vehicle (UAV) may emit masking sounds during operation of the UAV to mask other sounds generated by the UAV during operation. The UAV may be used to deliver items to a residence or other location associated with a customer. The UAV may emit sounds that mask the conventional sounds generated by the propellers and/or motors to cause the UAV to emit sounds that are pleasing to bystanders or do not annoy the bystanders. The UAV may emit sounds using speakers or other sound generating devices, such as fins, reeds, whistles, or other devices which may cause sound to be emitted from the UAV. Noise canceling algorithms may be used to cancel at least some of the conventional noise generated by operation of the UAV using inverted sounds, while additional sound may be emitted by the UAV, which may not be subject to noise cancelation.

Delivery sound masking and sound emission

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.).

Ground effect based surface sensing utilized with other sensing technologies in automated aerial vehicles

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.

Unmanned aerial vehicle configuration for extended flight and heat dissipation

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.

Aerial vehicle assembly configurations

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.).

Ground effect based surface sensing using propellers in automated aerial vehicles

Aerial vehicle delivery of items available through an E-commerce shopping site

An unmanned aerial vehicle (UAV) may emit masking sounds during operation of the UAV to mask other sounds generated by the UAV during operation. The UAV may be used to deliver items to a residence or other location associated with a customer. The UAV may emit sounds that mask the conventional sounds generated by the propellers and/or motors to cause the UAV to emit sounds that are pleasing to bystanders or do not annoy the bystanders. The UAV may emit sounds using speakers or other sound generating devices, such as fins, reeds, whistles, or other devices which may cause sound to be emitted from the UAV. Noise canceling algorithms may be used to cancel at least some of the conventional noise generated by operation of the UAV using inverted sounds, while additional sound may be emitted by the UAV, which may not be subject to noise cancellation.

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.

Damage avoidance system for unmanned aerial vehicle using stored energy from descent

Growing community of inventors

Seattle, WA, United States of America

Fabian Hensel