Aurora Flight Sciences Corporation

The Boeing Company

Jason Christopher Ryan

James Donald Paduano

John Brooke Wissler

Jessica Edmonds Duda

Andrew Musto

David A Mindell

Fabrice Kunzi

Michael D Piedmonte

John Tylko

John Allee

Joshua Torgerson

Wendy Feenstra

Jeffery Saunders

Jae-Woo Choi

Martin Kearney-Fischer

Boris Abramov

An autonomy system for use with a vehicle in an environment. The autonomy system comprising a processor operatively coupled with a memory device, a plurality of sensors operatively coupled with the processor; a vehicle controller, a situational awareness module, a task planning module, and a task execution module. The situational awareness module being configured to determine a state of the environment based at least in part on sensor data from at least one of the plurality of sensors. The task planning module being configured to identify, via the processor, a plurality of tasks to be performed by the vehicle and to generate a task assignment list from the plurality of tasks that is based at least in part on predetermined optimization criteria. The task execution module being configured to instruct the vehicle controller to execute the plurality of tasks in accordance with the task assignment list. The task execution module may be configured to monitor the vehicle or the vehicle controller during execution of the task assignment list to identify any errors.

Adaptive autonomy system architecture

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

An adaptable vehicle monitoring system is disclosed. The system includes a core platform having a state monitoring subsystem and a feedback subsystem. The core platform interconnects a perception subsystem, a knowledge acquisition subsystem, and a user interface. The perception subsystem is configured to acquire current vehicle state data from instruments of a vehicle. The knowledge acquisition subsystem includes a context awareness subsystem configured to determine a current vehicle context. The state monitoring subsystem is configured to derive a current vehicle state based at least in part on the vehicle state data and vehicle context. The knowledge acquisition subsystem further includes a database subsystem configured to store the current vehicle state data, current vehicle context, and current vehicle state. The trend monitoring subsystem is configured to analyze the one or more stored vehicle state data, stored vehicle contexts, and stored vehicle states to identify one or more trends. The feedback subsystem is configured to prepare operator and deliver operator feedback via the user interface based at least in part on a comparison between the current vehicle state and/or current trend and an expected vehicle state and/or previously identified trends.

Adaptable vehicle monitoring system

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 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.

Growing community of inventors

Malden, MA, United States of America

Jason Christopher Ryan