Aurora Flight Sciences Corporation

The Boeing Company

John Brooke Wissler

James Donald Paduano

David A Mindell

Michael D Piedmonte

Jason Christopher Ryan

Fabrice Kunzi

Jessica Edmonds Duda

John Tylko

Andrew Musto

John Allee

Joshua Torgerson

Wendy Feenstra

Adam Woodworth

Jae-Woo Choi

Martin Kearney-Fischer

Boris Abramov

Paul Nils Dahlstrand

Jeffery Saunders

Eugene H Nahm

In one example, a method of operating a plurality of aerial vehicles in an environment includes receiving, at a first command module of a first aerial vehicle navigating along a first flight path, sensor data from one or more sensors on board the first aerial vehicle. The sensor data reflects one or more characteristics of the environment. The method further includes determining, via the first command module, a change from a predetermined formation to a different formation for a second aerial vehicle based at least in part on the sensor data, where the predetermined formation and the different formation are relative to the first aerial vehicle. The method also including generating, via the first command module, control signals reflecting the change from the predetermined formation to the different formation and sending the control signals from the first aerial vehicle to the second aerial vehicle.

Aerial vehicle navigation system

A method, an apparatus, system, and computer program product for navigating an aircraft. Information indicative of a result of a scan of an environment around the aircraft is received by a computer system for landmarks. Bearings of the landmarks and locations of the landmarks are determined by the computer system. A current position of the aircraft is estimated by the computer system using the bearings of the landmarks and the locations of the landmarks. A set of actions to be performed is determined to guide the aircraft based on the current position of the aircraft is performed by the computer system.

Global positioning denied navigation

An aircrew automation system that provides a pilot with high-fidelity knowledge of the aircraft's physical state, and notifies that pilot of any deviations in expected state based on predictive models. The aircrew automation may be provided as a non-invasive ride-along aircrew automation system that perceives the state of the aircraft through visual techniques, derives the aircraft state vector and other aircraft information, and communicates any deviations from expected aircraft state to the pilot.

Aircrew automation system and method

The subject disclosure relates an aerial system to track a detected obstacle. The aerial system may comprise a plurality of aircraft, an aircraft storage system to house the plurality of aircraft, an aircraft controller in communication with each of a tracking system and the plurality of aircraft. In operation, one or more of the plurality of aircraft may engage the detected threat. At least one of the plurality of aircraft may include a target neutralization device to strike the detected threat.

Aerial vehicle interception system

An autonomous aerial vehicle includes a flight controller and a mission manager in communication with the flight controller. The flight controller is configured to navigate the autonomous aerial vehicle. The mission manager is configured to receive mission data. The mission data identifies both a landing zone and a designated touchdown zone located within the landing zone. The mission manager is further configured to provide flight control data to the flight controller. The flight control data causes the flight controller to navigate the autonomous aerial vehicle to a predetermined distance from the landing zone. The mission manager is further configured to determine, subsequent to the autonomous aerial vehicle reaching the predetermined distance, whether landing at the designated touchdown zone is feasible. The mission manager is further configured, in response to determining that landing at the designated touchdown zone is not feasible, to identify an alternate touchdown zone located within the landing zone for landing the autonomous aerial vehicle.

Autonomous cargo delivery system

An aircrew automation system and method for use in an aircraft. The aircrew automation system comprises one or more processors, an optical perception system, an actuation system, and a human-machine interface. The optical perception system monitors, in real-time, one or more cockpit instruments of the aircraft visually to generate flight situation data. The actuation system mechanically engages at least one flight control of the aircraft in response to the one or more flight commands. The human-machine interface provides an interface between a human pilot and the aircrew automation system. The human-machine interface comprises a display device to display a status of the aircraft and the actuation system.

The subject disclosure relates an aerial defense system to defend against a detected threat. The aerial defense system may comprise a plurality of defensive aircraft, an aircraft storage system to house the plurality of defensive aircraft, an aircraft controller in communication with each of a targeting system and the plurality of defensive aircraft, and a human machine interface (HMI) device to provide operator interaction. In operation, one or more of the plurality of defensive aircraft may engage the detected threat. At least one of the plurality of defensive aircraft may include a target neutralization device to strike, or otherwise engage, the detected threat.

An autonomous aerial system for delivering a payload to a waypoint. The autonomous aerial system may comprise an aerial vehicle to transport the payload to the waypoint and an onboard supervisory control system operatively coupled with the aerial vehicle. The aerial vehicle may be configured to navigate to the waypoint and to land at a designated touchdown zone within a landing zone at the waypoint. The onboard supervisory control system having a processor operatively coupled with a non-volatile memory device and a sensor package. The processor may be configured to generate flight control signal data based at least in part on data received via the sensor package, the sensor package configured to (1) dynamically sense and avoid obstacles along a flight route to the waypoint, and (2) perceive physical characteristics of the landing zone. The processor may be configured to autonomously navigate the aerial vehicle to the waypoint and to determine whether to touchdown at the designated touchdown zone based at least in part on physical characteristics of the designated touchdown zone perceived via said sensor package.

The present invention is directed to a system and methods of providing platform-agnostic systems and methods capable of providing an integrated processor and sensor suite with supervisory control software and interfaces to perform small unit rapid response resupply and CASEVAC into hazardous and unpredictable environments.

A vertical take-off and landing (VTOL) aircraft according to an aspect of the present invention comprises a fuselage, an empennage having an all-moving horizontal stabilizer located at a tail end of the fuselage, a wing having the fuselage positioned approximately halfway between the distal ends of the wing, wherein the wing is configured to transform between a substantially straight wing configuration and a canted wing configuration using a canted hinge located on each side of the fuselage. The VTOL aircraft may further includes one or more retractable pogo supports, wherein a retractable pogo support is configured to deploy from each of the wing's distal ends.

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Waltham, MA, United States of America

John Brooke Wissler