The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 16, 2023

Filed:

Jun. 17, 2020
Applicant:

Siemens Industry Software Ltd., Tel Aviv, IL;

Inventors:

Moshe Hazan, Elad, IL;

Meir Koren, Beer Sheva, IL;

Rafael Blumenfeld, Raanana, IL;

Ada Raveh, Motza Illit, IL;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B05B 15/70 (2018.01); B05B 12/08 (2006.01); G06F 30/27 (2020.01);
U.S. Cl.
CPC ...
B05B 15/70 (2018.02); B05B 12/084 (2013.01); G06F 30/27 (2020.01);
Abstract

Systems and a method predict a generation of a robotic program for industrial coating. Inputs are received including a virtual representation of a robot, a coating gun, elements of the object surface to be coated and a set of desired coating thickness ranges. Inputs on a coating dispersion object are also received. Training data of a plurality of robotic programs for industrial coating and of their corresponding coating thickness coverage on a plurality of surfaces are received. The training data are processed in x, y tuples so as to learn a mapping function to generate a coating prediction module. Starting with a given selected valid thickness coverage as input parameters, it is proceeded in an iterative manner to predict a robotic program via the coating prediction module. A coating robotic program is generated for each surface element based on the resulting predicted coating programs.


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