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:
Dec. 05, 2023

Filed:

Nov. 26, 2021
Applicants:

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

Lukas Fath, York, CA;

Chen Zhang, Richmond, CA;

Sebastian Schweigert, Sunnyvale, CA (US);

Inventors:

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

Lukas Fath, York, CA;

Chen Zhang, Richmond, CA;

Sebastian Schweigert, Sunnyvale, CA (US);

Assignee:

AI Incorporated, Toronto, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G01C 21/30 (2006.01); G05D 1/00 (2006.01); G01C 21/20 (2006.01); G01S 17/89 (2020.01); G06T 7/11 (2017.01); G06T 7/55 (2017.01); G01C 21/16 (2006.01); G06T 7/30 (2017.01); G06T 7/521 (2017.01); G06T 3/00 (2006.01);
U.S. Cl.
CPC ...
G01C 21/30 (2013.01); G01C 21/165 (2013.01); G01C 21/206 (2013.01); G01S 17/89 (2013.01); G05D 1/0088 (2013.01); G05D 1/0219 (2013.01); G05D 1/0272 (2013.01); G05D 1/0274 (2013.01); G06T 7/11 (2017.01); G06T 7/30 (2017.01); G06T 7/55 (2017.01); A47L 2201/022 (2013.01); A47L 2201/04 (2013.01); G05D 1/0242 (2013.01); G05D 1/0246 (2013.01); G05D 1/0255 (2013.01); G05D 1/0257 (2013.01); G06T 3/0068 (2013.01); G06T 7/521 (2017.01); G06T 2207/10028 (2013.01);
Abstract

Provided is a method including: capturing, with at least one sensor of a robot, first data indicative of the position of the robot in relation to objects within the workspace and second data indicative of movement of the robot; recognizing, with a processor of the robot, a first area of the workspace based on observing at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, at least part of a map of the workspace based on at least one of: the first part of the first data and the first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path.


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