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:
Mar. 17, 2026

Filed:

Apr. 17, 2023
Applicants:

Ali Ebrahimi Afrouzi, Henderson, NV (US);

Soroush Mehrnia, Helsingborg, SE;

Lukas Robinson, York, CA;

Inventors:

Ali Ebrahimi Afrouzi, Henderson, NV (US);

Soroush Mehrnia, Helsingborg, SE;

Lukas Robinson, York, CA;

Assignee:

AI Incorporated, Toronto, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G01S 11/12 (2006.01); G01S 17/46 (2006.01); G06T 7/521 (2017.01); G06T 11/60 (2006.01); G06V 10/75 (2022.01); H04N 23/56 (2023.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G01S 11/12 (2013.01); G01S 17/46 (2013.01); G06T 7/521 (2017.01); G06T 11/60 (2013.01); G06V 10/751 (2022.01); H04N 23/56 (2023.01); G06T 2207/30204 (2013.01);
Abstract

Included is a method for estimating distance, including: emitting, with at least one light emitter disposed on a robot, a light structure onto objects; capturing, with at least one image sensor disposed on the robot, images of the light structure emitted onto the objects; identifying, with a processor, the light structure within the images; determining, with the processor, positions of elements of the light structure within the images; determining, with the processor, a characteristic relating to the objects based on positions of elements of the light structure within the images; determining, with the processor, an object class of at least one object within the images based on a comparison between features of the object extracted from the images and an object dictionary comprising various object classes and their associated features; and instructing, with the processor, the robot to execute at least one action based on the object class identified.


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