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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.

Patent No.:

US 12715144 B1

PDFFull Text
Date of Patent:
Aug. 25, 2026

Filed:

Feb. 28, 2024

Robot tidying into non-standard categories

Applicant:

Clutterbot, Inc., Claymont, DE (US);

Inventor:

Justin David Hamilton, Wellington, NZ;

Assignee:

Clutterbot, Inc., Claymont, DE (US);

Attorney:

Carenlian Law, LLC

Primary Examiner:

Jason Holloway

Assistant Examiner:

Benjamin J Brosh

Int. Cl.
CPC ...
B25J 11/00 (2006.01); B25J 13/08 (2006.01); G05D 1/223 (2024.01); G05D 1/246 (2024.01); G06T 7/10 (2017.01); G06T 7/73 (2017.01); G06V 10/75 (2022.01); G06V 10/94 (2022.01); G06V 20/40 (2022.01); G06V 20/50 (2022.01); G06V 20/70 (2022.01); G05D 101/20 (2024.01); G05D 105/10 (2024.01); G05D 107/40 (2024.01);
U.S. Cl.
CPC ...
B25J 11/008 (2013.01); B25J 13/089 (2013.01); G05D 1/223 (2024.01); G05D 1/2465 (2024.01); G06T 7/10 (2017.01); G06T 7/74 (2017.01); G06V 10/757 (2022.01); G06V 10/945 (2022.01); G06V 20/41 (2022.01); G06V 20/49 (2022.01); G06V 20/50 (2022.01); G06V 20/70 (2022.01); G05D 2101/20 (2024.01); G05D 2105/10 (2024.01); G05D 2107/40 (2024.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30244 (2013.01);
Abstract

A method and computing apparatus are disclosed for allowing a tidying robot to organize objects into non-standard categories that match a user's needs. The tidying robot navigates an environment using cameras to map the type, size, and location of toys, clothing, obstacles, furniture, structural elements, and other objects. The robot comprises a neural network to determine the type, size, and location of objects based on input from a sensing system. An augmented reality view allows user interaction to refine and customize areas within the environment to be tidied, object categories, object home locations, and operational task rules controlling robot operations.

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