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:
Oct. 28, 2025

Filed:

Nov. 13, 2023
Applicant:

Agility Robotics, Inc., Pittsburgh, PA (US);

Inventors:

Yaadhav Raaj, Beaverton, OR (US);

Juan Fernando Medrano Yax, Guatemala, GT;

Assignee:

Agility Roboltics, Inc., Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B25J 13/08 (2006.01); B25J 9/00 (2006.01); B25J 9/16 (2006.01); B25J 19/02 (2006.01); G06F 18/23 (2023.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
B25J 13/089 (2013.01); B25J 9/0006 (2013.01); B25J 9/161 (2013.01); B25J 9/163 (2013.01); B25J 9/1697 (2013.01); B25J 19/023 (2013.01); G06F 18/23 (2023.01); G06T 7/75 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A method in accordance with a particular embodiment of the present technology includes receiving, at data-processing hardware operably associated with a mobile robot, perception data corresponding to an object in an environment of the mobile robot. The method further includes generating, by the data-processing hardware and based at least partially on the perception data, a feature reference corresponding to a feature of the object. The method also includes generating, by the data-processing hardware, candidate object references based at least partially on different respective alignments between the feature reference and a model of the object. The method also includes selecting, by the data-processing hardware, one of the candidate object references based at least partially on a result of evaluating the candidate object references for accuracy. Finally, the method includes controlling, by the data-processing hardware, the mobile robot based at least partially on the selected candidate object reference.


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