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. 12, 2024

Filed:

Aug. 16, 2021
Applicants:

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

Lukas Fath, York, CA;

Andrew Fitzgerald, Burlington, CA;

Amin Ebrahimi Afrouzi, Encinitas, CA (US);

Brian Highfill, Castro Valley, CA (US);

Inventors:

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

Lukas Fath, York, CA;

Andrew Fitzgerald, Burlington, CA;

Amin Ebrahimi Afrouzi, Encinitas, CA (US);

Brian Highfill, Castro Valley, CA (US);

Assignee:

AI Incorporated, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); B25J 9/16 (2006.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0214 (2013.01); B25J 9/1676 (2013.01); B25J 9/1697 (2013.01); G05D 1/0246 (2013.01);
Abstract

Provided is a method for operating a robot, including: capturing images of a workspace; capturing movement data indicative of movement of the robot; capturing LIDAR data as the robot performs work within the workspace; comparing at least one object from the captured images to objects in an object dictionary; identifying a class to which the at least one object belongs; generating a first iteration of a map of the workspace based on the LIDAR data; generating additional iterations of the map based on newly captured LIDAR data and newly captured movement data; actuating the robot to drive along a trajectory that follows along a planned path by providing pulses to one or more electric motors of wheels of the robot; and localizing the robot within an iteration of the map by estimating a position of the robot based on the movement data, slippage, and sensor errors.


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