IP Library › Granted Patent US 12,085,914
Granted Patent B2
US 12,085,914 · App. 17/222,110 · Granted Sep 10, 2024

Systems and methods for operating multiple-level autonomous cargo handling systems

Inventors: Zamira A. Daw Perez (Albany, CA); Alessandro Pinto (Kensington, CA); Richa Varma (Emeryville, CA); Olusegun T. Oshin (Middletown, CT)
Assignee: GOODRICH CORPORATION
G05B19/406B64D9/00G05B2219/39058G05B2219/39147G05B2219/39212
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 12,085,914
App. No.
17/222,110
Granted
Sep 10, 2024
Kind
B2
Abstract

A method for adjusting a system autonomy level of a cargo handling system configured for autonomous control by a processor is disclosed. In various embodiments, the method includes receiving by the processor a sensor database from a plurality of sensing agents in operable communication with the processor; determining by the processor a confidence level based on the sensor database; and adjusting by the processor the system autonomy level for continued operation of the cargo handling system.

Claims (42)

1. A method for adjusting a system autonomy level of a cargo handling system configured for autonomous control by a processor, comprising:

receiving by the processor a sensor database from a plurality of sensing agents in operable communication with the processor, wherein the plurality of sensing agents is configured to detect whether a human is present in a region of an aircraft envelope defined by the cargo handling system;

performing by the processor a first calibration assessment of the plurality of sensing agents to assess whether a compromised operational status of the cargo handling system has occurred based on whether a threshold number of failures of the plurality of sensing agents has been met;

adjusting by the processor the threshold number of failures of the plurality of sensing agents based on whether the human is present;

determining by the processor a confidence level based on the sensor database and the adjusted threshold number of failures; and

adjusting by the processor the system autonomy level for continued operation of the cargo handling system based on the confidence level.

2. The method of claim 1 , further comprising adjusting the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the confidence level.

3. The method of claim 2 , wherein the higher level of autonomous control is a full-autonomous mode of operation or a semi-autonomous mode of operation.

4. The method of claim 3 , wherein the lower level of autonomous control is a discrete mode of operation or a manual mode of operation.

5. The method of claim 1 , wherein the adjusting by the processor the system autonomy level includes reducing the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the presence of the human.

6. The method of claim 1 , further comprising testing by the processor the plurality of sensing agents by comparing the sensor database against a sensor assessment.

7. The method of claim 6 , wherein the adjusting by the processor the system autonomy level includes reducing the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the failure of one or more of the plurality of sensing agents.

8. The method of claim 1 , further comprising receiving by the processor an actuator database from a plurality of actuators in operable communication with the processor.

9. The method of claim 8 , further comprising testing by the processor the plurality of actuators by comparing the actuator database against an actuator assessment and performing by the processor a second calibration assessment of the plurality of actuators to assess whether a compromised operational status of the cargo handling system has occurred due to a failure of one or more of the plurality of actuators.

10. The method of claim 9 , wherein the adjusting by the processor the system autonomy level includes reducing the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the failure of one or more of the plurality of actuators.

11. The method of claim 1 , wherein the cargo handling system comprises a plurality of components and further comprising:

determining by the processor a plurality of failure modes for the plurality of components;

providing by the processor a hierarchy for the plurality of failure modes;

determining by the processor whether a threshold proximity of failures of the plurality of sensing agents has been met;

performing by the processor a data fusion based on the plurality of failure modes, the threshold proximity, and the threshold number; and

performing by the processor a first calibration assessment of the plurality of sensing agents to assess whether a compromised operational status of the cargo handling system has occurred based on the data fusion.

12. A cargo handling system configured for autonomous control, comprising:

a processor in operable communication with a plurality of sensing agents, the plurality of sensing agents configured to detect whether a human is present in a region of an aircraft envelope defined by the cargo handling system and to transmit a sensor database to the processor; and

an object database configured to store a sensor assessment for testing by the processor the plurality of sensing agents by comparing the sensor database against the sensor assessment,

wherein the processor is configured to;

perform a first calibration assessment of the plurality of sensing agents to assess whether a compromised operational status of the cargo handling system has occurred based on whether a threshold number of failures of the plurality of sensing agents has been met;

adjust the threshold number of failures of the plurality of sensing agents based on whether the human is present;

determine a confidence level based on the sensor database and the adjusted threshold number of failures; and

adjust a system autonomy level for continued operation of the cargo handling system based on the confidence level.

13. The cargo handling system of claim 12 , wherein the processor is configured adjust the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the confidence level.

14. The cargo handling system of claim 13 , wherein the higher level of autonomous control is a full-autonomous mode of operation or a semi-autonomous mode of operation and the lower level of autonomous control is a discrete mode of operation or a manual mode of operation.

15. The cargo handling system of claim 12 , wherein the processor is configured to reduce the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the presence of the human.

16. The cargo handling system of claim 12 , wherein the processor is configured to test the plurality of sensing agents by comparing the sensor database against the sensor assessment.

17. The cargo handling system of claim 16 , wherein the processor is configured to reduce the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the failure of one or more of the plurality of sensing agents.

18. The cargo handling system of claim 12 , wherein the object database is configured to store an actuator assessment for testing by the processor a plurality of actuators in operable communication with the processor by comparing an actuator database, received by the processor from the plurality of actuators, against the actuator assessment and the processor is configured to perform a second calibration assessment of the plurality of actuators to assess whether a compromised operational status of the cargo handling system has occurred due to a failure of one or more of the plurality of actuators.

19. The cargo handling system of claim 18 , wherein the processor is configured to reduce the system autonomy level from a higher level of autonomous control to a lower level of autonomous control based on the failure of one or more of the plurality of actuators.

20. The cargo handling system of claim 12 , wherein the cargo handling system comprises a plurality of components and wherein the processor is further configured to:

determine a plurality of failure modes for the plurality of components;

provide a hierarchy for the plurality of failure modes;

determine whether a threshold proximity of failures of the plurality of sensing agents has been met;

perform a data fusion based on the plurality of failure modes, the threshold proximity, and the threshold number; and

perform a first calibration assessment of the plurality of sensing agents to assess whether a compromised operational status of the cargo handling system has occurred based on the data fusion.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 5, 2021
From: DAW PEREZ, ZAMIRA A.; PINTO, ALESSANDRO; VARMA, RICHA; OSHIN, OLUSEGUN T.
To: GOODRICH CORPORATION
Reel/Frame 055822/0229 →
Continuity (2)
Provisional Application 63009797 · Apr 14, 2020
Related Publication 20210318668A1 · Oct 14, 2021