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:
Sep. 19, 2023

Filed:

Nov. 04, 2022
Applicant:

Path Robotics, Inc., Columbus, OH (US);

Inventors:

Alexander James Lonsberry, Gahanna, OH (US);

Andrew Gordon Lonsberry, Columbus, OH (US);

Nima Ajam Gard, Columbus, OH (US);

Colin Bunker, Columbus, OH (US);

Carlos Fabian Benitez Quiroz, Columbus, OH (US);

Madhavun Candadai Vasu, Columbus, OH (US);

Assignee:

PATH ROBOTICS, INC., Columbus, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); B23K 37/02 (2006.01); B23K 37/04 (2006.01); B25J 11/00 (2006.01); B25J 13/08 (2006.01); B25J 15/00 (2006.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
B25J 9/1697 (2013.01); B23K 37/0229 (2013.01); B23K 37/0258 (2013.01); B23K 37/04 (2013.01); B25J 9/161 (2013.01); B25J 9/1666 (2013.01); B25J 9/1671 (2013.01); B25J 11/005 (2013.01); B25J 13/08 (2013.01); B25J 15/0019 (2013.01); G06T 7/0004 (2013.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/06 (2022.01);
Abstract

In various examples, a computer-implemented method of generating instructions for a welding robot. The computer-implemented method comprises identifying an expected position of a candidate seam on a part to be welded based on a Computer Aided Design (CAD) model of the part, scanning a workspace containing the part to produce a representation of the part, identifying the candidate seam on the part based on the representation of the part and the expected position of the candidate seam, determining an actual position of the candidate seam, and generating welding instructions for the welding robot based at least in part on the actual position of the candidate seam.


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