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. 08, 2026

Filed:

Dec. 05, 2024
Applicant:

Exel Industries, Epernay, FR;

Inventors:

Didier Chevron, Moirans, FR;

Juan Palacio, Grenoble, FR;

Nicolas Chouan, Allevard-les-bains, FR;

Assignee:

EXEL INDUSTRIES, Epernay, FR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); B25J 11/00 (2006.01);
U.S. Cl.
CPC ...
B25J 9/163 (2013.01); B25J 9/1605 (2013.01); B25J 9/1697 (2013.01); B25J 11/0075 (2013.01);
Abstract

A geometrical model of a multi-axis robot equipped with a camera () comprises a first change matrix (T) and a second change matrix T)). A method for adjusting the model comprises: aiming (), with the camera arranged in a first location (k1), at at least two points among L points of the target; determining the coordinates of each point aimed at; moving () the camera; d) aiming (), with the camera arranged in a second location (k2), at the same points (P); determining the coordinates of each point aimed at; calculating (), for each point aimed at, a difference of the difference (v) between the coordinates nt in a base coordinate frame (BF), expressed in using the first and second change matrix calculating () an overall difference value (F, G). Variables (X-X, Δα, Δι, Δθ, Δr) of coefficients of the first and second change matrices (T, T) are determined by minimizing () the overall value calculated during step g). The camera is successively brought into K locations. The product of the number (L) of points of the target by the number (K) of locations minus 6 (L*K−6) is greater than or equal to the number of variables of the geometrical model of the multi-axis robot.


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