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.:
Date of Patent:
Apr. 16, 2024
Filed:
Nov. 15, 2021
Applicant:
Mujin, Inc., Tokyo, JP;
Inventors:
Jinze Yu, Tokyo, JP;
Jose Jeronimo Moreira Rodrigues, Tokyo, JP;
Rosen Nikolaev Diankov, Tokyo, JP;
Xutao Ye, Tokyo, JP;
Russell Islam, Tokyo, JP;
Assignee:
MUJIN, Inc., Tokyo, JP;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); B25J 9/16 (2006.01); B65B 43/46 (2006.01); B65G 61/00 (2006.01); G05B 19/4093 (2006.01); G06Q 10/087 (2023.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06T 19/20 (2011.01); G06V 10/20 (2022.01); G06V 10/25 (2022.01); G06V 20/64 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01); B25J 9/1676 (2013.01); B25J 9/1687 (2013.01); B25J 9/1697 (2013.01); B65B 43/46 (2013.01); B65G 61/00 (2013.01); G05B 19/40935 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06T 19/20 (2013.01); G06V 10/25 (2022.01); G06V 10/255 (2022.01); G06V 20/64 (2022.01); G05B 2219/40006 (2013.01); G05B 2219/40607 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20164 (2013.01); G06T 2207/30108 (2013.01); G06V 10/44 (2022.01);
Abstract
The present disclosure relates to detecting and registering unrecognized or unregistered objects. A minimum viable range (MVR) may be derived based on inspecting image data that represents objects. The MVR may be determined to be a certain MVR or an uncertain MVR according to one or more features represented in the image data. The MVR may be used to register corresponding objects according to the certain or uncertain determination.