US 2023/0173676 A1 · 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.

Claims20

Dependent claims

A computer-implemented method for operating a manufacturing robot, the computer-implemented method comprising:

receiving, from one or more sensors, information regarding a first manufacturing output, the first manufacturing output generated by the manufacturing robot based on a first profile, a first trajectory, a first one or more manufacturing parameters, or a combination thereof;
processing, by a processor, the information regarding the first manufacturing output and the first profile, the first trajectory, the first one or more manufacturing parameters, or a combination thereof, to generate a second trajectory or a second one or more manufacturing parameters;
and
initiating generation of a second manufacturing output by the manufacturing robot based on the second trajectory, the second one or more manufacturing parameters, or a combination thereof.

1 more element

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

generating a first difference profile based on a reference weld profile and a first weld profile of a first weld formed by the welding robot;
generating at least one updated welding parameter based on the first difference profile, one or more input parameters, or a combination thereof;
determining a second weld profile of a second weld formed by the welding robot based on the at least one updated welding parameter, the second weld profiled determined based on first sensor data received from one or more sensors;
generating a second difference profile based on the reference weld profile and the second weld profile;
and
updating machine learning logic based on the first difference profile, the one or more input parameters, the second difference profile, and the at least one updated welding parameter.

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

Claims20