Patent ID: 11931910
Assignee: WILDER SYSTEMS INC.
Field: Handling (Mechanical engineering)
Classification: CPC B  G | IPC B

Claim 18:
19. A computer-implemented method comprising:
receiving a multi-dimensional representation of an aircraft part that includes a first target, the multi-dimensional representation including first pose data of the first target in a first coordinate system of the aircraft part;
causing a robot to position a camera relative to the first target based on the first pose data and a second coordinate system of the robot;
receiving a first image generated by the camera while the camera is positioned relative to the first target, the first image showing at least a portion of the first target;
generating an input to a machine learning model based on the first image;
determining, based on a first output of the machine learning model in response to the input, second pose data of the first target in the first coordinate system of the aircraft part;
generating a second output based on the second pose data, the second output usable to control a robotic operation on the first target;
causing, based on the multi-dimensional representation of the aircraft part, the robot to position the camera relative to a second target of the aircraft part;
receiving a second image generated by the camera and showing at least a portion of the second target,
determining, by using the machine learning model and based on the first image and the second image, that the first target is classified as having a target type to which the robotic operation applies and that the second target is classified as not having the target type or as being of a different target type to which the robotic operation is inapplicable; and
storing a first classification of the first target and a second classification of the second target in a data store.