US 12,358,138 B2 · Machine learning logic-based adjustment techniques for robots

Abstract

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, that provide for training, implementing, or updated machine learning logic, such as an artificial neural network, to model a manufacturing process performed in a manufacturing robot environment. For example, the machine learning logic may be trained and implemented to learn from or make adjustments based on one or more operational characteristics associated with the manufacturing robot environment. As another example, the machine learning logic, such as a trained neural network, may be implemented in a semi-autonomous or autonomous manufacturing robot environment to model a manufacturing process and to generate a manufacturing result. As another example, the machine learning logic, such as the trained neural network, may be updated based on data that is captured and associated with a manufacturing result. Other aspects and features are also claimed and described.

Claims17

Dependent claims

A computer-implemented method of operating a welding robot, the computer-implemented method comprising:

simulating, using machine learning logic, a difference profile generated based on a comparison of a first weld profile and a reference weld profile, wherein the first weld profile comprises a geometric representation of a shape of a first weld, wherein the reference weld profile comprises a geometric representation of a shape of a reference weld;
determining one or more derivatives of the difference profile with respect to one or more weld parameters;
generating one or more updated weld parameters based upon the one or more derivatives;
transmitting, to the welding robot, control information to instruct the welding robot to perform a weld operation on a seam to form a second weld, wherein the control information indicates the one or more updated weld parameters;
and
performing, by the welding robot, the weld operation on the seam using the control information.

3 more elements

Dependencies are inferred from the claim text.

Machine learning logic-based adjustment techniques for robots

Life of this patent

Machine learning logic-based adjustment techniques for robots

Life of this patent

Abstract

Claims17