IP Library Granted Patent US 12,242,285
Granted Patent B2
US 12,242,285 · App. 18/423,149 · Granted Mar 4, 2025

System and method for aircraft configuration checking

Inventors: Matthew George (Boston, MA); Alexander Naiman (Boston, MA); Angel Macias (Boston, MA); Aubrey Kalashian (Boston, MA); Kevin Elfenbein (Boston, MA)
Assignee: Merlin Labs, Inc.
G05D1/2285G05D2109/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,242,285
App. No.
18/423,149
Granted
Mar 4, 2025
Kind
B2
Abstract

The method can include: optionally determining an aircraft state; determining a transition event; verifying an aircraft configuration; determining an aircraft alert state; and performing an action. However, the method can additionally or alternatively include any other suitable elements. The method functions to facilitate configuration checking and/or validation of configuration changes. Additionally or alternatively, the method can function to facilitate human-in-the-loop operation of a semi-autonomous aircraft (e.g., with an autonomous agent fulfilling the roles of one pilot of a multi-pilot aircraft). Additionally or alternatively, the method can function to autonomously respond to inconsistencies or failures associated with aircraft configuration changes.

Claims (37)

1. A method for an aircraft, comprising:

at a first computing system, determining an aircraft transition event;

in response to the aircraft transition event, automatically initializing a checklist procedure to verify an aircraft configuration with the first computing system, the checklist procedure comprising a plurality of checks,

for a first subset of the plurality of checks: prompting a pilot to verify a respective state parameter of the aircraft configuration and confirming the respective state parameter based on a pilot input, and

for a remainder of the plurality of checks: autonomously verifying a respective state parameter of an aircraft configuration based on a set of onboard sensors and notifying the pilot of the verification; and

automatically performing an action, with the first computing system, based on the checklist procedure.

2. The method of claim 1 , wherein the checklist procedure is executed at an autonomous computing system onboard the aircraft, the autonomous computing system communicatively coupled to an aircraft computing system which comprises a flight management system (FMS), wherein performing the action comprises controlling the aircraft according to a flight command at an aircraft computing system.

3. The method of claim 2 , wherein the autonomous computing system comprises a portable device.

4. The method of claim 2 , wherein the autonomous computing system performs a set of co-pilot operations for the checklist procedure.

5. The method of claim 2 , wherein each check of the checklist procedure is completed sequentially and with inputs from both the pilot and the autonomous computing system.

6. The method of claim 1 , wherein the checklist procedure is manually initialized via voice input.

7. The method of claim 1 , wherein the checklist procedure is automatically triggered based on the aircraft state.

8. The method of claim 1 , wherein prompting the pilot comprises an auditory checklist challenge, wherein the pilot input comprises an audio input from an onboard audio sensor, wherein confirming the respective system state based on a pilot input comprises a Natural Language Processing (NLP) evaluation of the audio input.

9. The method of claim 8 , wherein, for a first subset of checks, the respective system state is further confirmed based on integrated onboard sensing.

10. The method of claim 1 , wherein the set of onboard sensors comprises a camera, wherein, for the remainder of checks, autonomously verifying the respective state parameter comprises: estimating an instrument state by computer vision (CV) analysis of an image from the camera.

11. The method of claim 10 , wherein the instrument state comprises a gauge value.

12. The method of claim 11 , further comprising: receiving instrument state data from a Remote Data Concentrator (RDC) of the aircraft.

13. The method of claim 1 , wherein, for the remainder of checks, autonomously verifying the respective state parameter comprises measuring the instrument state with a set of portable sensors.

14. The method of claim 1 , wherein the action comprises: triggering a secondary checklist procedure based on the first checklist procedure.

15. The method of claim 1 , further comprising: triggering a request for pilot intervention based on at least one of the plurality of checks.

16. The method of claim 1 , further comprising: escalating an alert state based on a failure to complete a check of the checklist, wherein the action is based on the alert state.

17. The method of claim 1 , wherein the plurality of checks comprises a first check, a second check, and a third check, the checklist procedure comprising:

automatically prompting a pilot to verify a first state parameter associated with the first check;

determining a first pilot input and, based on the first pilot input, confirming the first state parameter;

in response to confirmation of the first state parameter, automatically determining a second set of sensor data associated with a second check; and

verifying a second state parameter of the aircraft state based on a set of onboard sensors and notifying the pilot of the verification of the second state parameter.

18. A method for an aircraft, comprising:

in response to an aircraft transition event, retrieving a checklist associated with the aircraft transition event, the checklist comprising a sequence of checks, each check associated with a respective aircraft component and comprising challenge text and a predefined set of respective responses;

for a first check of the sequence, providing a first synthetic utterance of the challenge text using text-to-speech transformation,

receiving audio data and instrument state data;

determining a pilot response to the first synthetic utterance, within the predefined set of respective responses for the first check, by Natural Language Processing (NLP) of the audio data;

based on the pilot response and the instrument state data, autonomously verifying the first check of the sequence using the instrument state data;

based on the autonomous verification of the first check, updating an aircraft configuration at an aircraft computing system; and

controlling the aircraft based on the updated aircraft configuration.

19. The method of claim 18 , wherein instrument state data comprises estimated instrument states determined by computer vision (CV) analysis of a set of indicators.

20. The method of claim 19 , wherein the CV analysis, the NLP, and the text-to-speech transformation are executed at a portable device which is communicatively coupled to the aircraft computing system.

21. The method of claim 18 , further comprising: receiving a second set of instrument state data after the first check; and based on the second set of instrument state data, automatically requesting pilot intervention based on a second check of the sequence.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: GEORGE, MATTHEW; NAIMAN, ALEXANDER; MACIAS, ANGEL; KALASHIAN, AUBREY; ELFENBEIN, KEVIN
To: MERLIN LABS, INC.
Reel/Frame 067864/0151 →
Continuity (3)
Provisional Application 63444145 · Feb 8, 2023
Provisional Application 63441103 · Jan 25, 2023
Related Publication 20240248481A1 · Jul 25, 2024
References Cited (10)
US 11447272B2 · Lampazzi et al. · 2022 [cited by applicant]
US 20070288129A1 · Komer · 2007 [cited by examiner]
US 20160018793A1 · Becker et al. · 2016 [cited by applicant]
US 20160294882A1 · Michaels · 2016 [cited by examiner]
US 20180364707A1 · Bosworth · 2018 [cited by examiner]
US 20190033862A1 · Groden · 2019 [cited by examiner]
US 20190318741A1 · Songa et al. · 2019 [cited by applicant]
US 20200118366A1 · Ryan et al. · 2020 [cited by applicant]
US 20200298994A1 · Conaway et al. · 2020 [cited by applicant]
US 20220009651A1 · Lampazzi · 2022 [cited by examiner]