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:
Jan. 10, 2023

Filed:

May. 30, 2019
Applicants:

Ali Ebrahimi Afrouzi, San Jose, CA (US);

Lukas Fath, York, CA;

Chen Zhang, Richmond, CA;

Brian Highfill, Castro Valley, CA (US);

Amin Ebrahimi Afrouzi, San Jose, CA (US);

Inventors:

Ali Ebrahimi Afrouzi, San Jose, CA (US);

Lukas Fath, York, CA;

Chen Zhang, Richmond, CA;

Brian Highfill, Castro Valley, CA (US);

Amin Ebrahimi Afrouzi, San Jose, CA (US);

Assignee:

AI Incorporated, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); B25J 9/16 (2006.01); G06T 5/50 (2006.01); G06T 7/579 (2017.01); B25J 5/00 (2006.01); G06T 7/70 (2017.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
B25J 9/1697 (2013.01); B25J 5/007 (2013.01); B25J 9/1666 (2013.01); G05D 1/0246 (2013.01); G06T 5/50 (2013.01); G06T 7/579 (2017.01); G06T 7/70 (2017.01); G06V 20/10 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/20221 (2013.01);
Abstract

Provided is a robot including: a chassis; wheels; electric motors; a network card; sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, a first image and a second image; determining, with the processor, an overlapping area of the first image and the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; combining, with the processor, the first image and the second image at the overlapping area to generate a digital spatial representation of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the robot, a corrected position of the robot to replace a last known position of the robot within the digital spatial representation of the environment.


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