Patents by Inventor John Tylko

John Tylko has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11693407
    Abstract: 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.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: July 4, 2023
    Assignee: The Boeing Company
    Inventors: Jessica E. Duda, John Tylko, David Mindell, Fabrice Kunzi, Michael Piedmonte, John Allee, Joshua Torgerson, Jason Ryan, James Donald Paduano, John Brooke Wissler, Andrew Musto, Wendy Feenstra
  • Patent number: 11225039
    Abstract: An automated inspection system for monitoring a manufacturing process includes a core platform to operatively connect a plurality of systems or subsystems via one or more interfaces. A sensor system operatively coupled with the core platform to monitor one or more characteristics of a manufactured article. An actuation system operatively coupled with the core platform to implement the manufacturing process based on instruction from the core platform. The core platform is configured to receive a first measurement of the one or more characteristics of a composite article from the sensor system after application of a plurality of layers of one or more raw materials; receive data regarding a second measurement of the one or more characteristics from the sensor system after curing the composite article; and generate an alert in response to a determination that a defect exists in the composite article based on the first or second measurement.
    Type: Grant
    Filed: June 8, 2018
    Date of Patent: January 18, 2022
    Assignee: Aurora Flight Sciences Corporation
    Inventors: Jae-Woo Choi, John Tylko, Konstantine Fetfatsidis, James D. Paduano
  • Publication number: 20200301422
    Abstract: 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.
    Type: Application
    Filed: May 4, 2020
    Publication date: September 24, 2020
    Inventors: Jessica E. Duda, John Tylko, David Mindell, Fabrice Kunzi, Michael Piedmonte, John Allee, Joshua Torgerson, Jason Ryan, James Donald Paduano, John Brooke Wissler, Andrew Musto, Wendy Feenstra
  • Patent number: 10642270
    Abstract: 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.
    Type: Grant
    Filed: July 8, 2019
    Date of Patent: May 5, 2020
    Assignee: Aurora Flight Sciences Corporation
    Inventors: Jessica E. Duda, John Tylko, David Mindell, Fabrice Kunzi, Michael Piedmonte, John Allee, Joshua Torgerson, Jason Ryan, James Donald Paduano, John Brooke Wissler, Andrew Musto, Wendy Feenstra
  • Publication number: 20200064840
    Abstract: 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.
    Type: Application
    Filed: July 8, 2019
    Publication date: February 27, 2020
    Inventors: Jessica E. Duda, John Tylko, David Mindell, Fabrice Kunzi, Michael Piedmonte, John Allee, Joshua Torgerson, Jason Ryan, James Donald Paduano, John Brooke Wissler, Andrew Musto, Wendy Feenstra
  • Publication number: 20190375171
    Abstract: An automated inspection system for monitoring a manufacturing process includes a core platform to operatively connect a plurality of systems or subsystems via one or more interfaces. A sensor system operatively coupled with the core platform to monitor one or more characteristics of a manufactured article. An actuation system operatively coupled with the core platform to implement the manufacturing process based on instruction from the core platform. The core platform is configured to receive a first measurement of the one or more characteristics of a composite article from the sensor system after application of a plurality of layers of one or more raw materials; receive data regarding a second measurement of the one or more characteristics from the sensor system after curing the composite article; and generate an alert in response to a determination that a defect exists in the composite article based on the first or second measurement.
    Type: Application
    Filed: June 8, 2018
    Publication date: December 12, 2019
    Inventors: Jae-Woo Choi, John Tylko, Konstantine Fetfatsidis, James D. Paduano
  • Patent number: 10359779
    Abstract: 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.
    Type: Grant
    Filed: March 21, 2017
    Date of Patent: July 23, 2019
    Assignee: Aurora Flight Sciences Corporation
    Inventors: Jessica E. Duda, John Tylko, David Mindell, Fabrice Kunzi, Michael Piedmonte, John Allee, Joshua Torgerson, Jason Ryan, James Donald Paduano, John Brooke Wissler, Andrew Musto, Wendy Feenstra
  • Publication number: 20170277185
    Abstract: 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.
    Type: Application
    Filed: March 21, 2017
    Publication date: September 28, 2017
    Inventors: Jessica E. Duda, John Tylko, David Mindell, Fabrice Kunzi, Michael Piedmonte, John Allee, Joshua Torgerson, Jason Ryan, James Donald Paduano, John Brooke Wissler, Andrew Musto, Wendy Feenstra