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. 23, 2025

Filed:

Mar. 30, 2023
Applicant:

Omron Corporation, Kyoto, JP;

Inventors:

Gaurav Misra, San Ramon, CA (US);

Akihiro Suzumura, San Ramon, CA (US);

Andres Rodriguez Campo, San Ramon, CA (US);

Sean Bailey, San Ramon, CA (US);

John Drinkard, San Ramon, CA (US);

Assignee:

OMRON CORPORATION, Kyoto, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); G05B 19/4061 (2006.01);
U.S. Cl.
CPC ...
B25J 9/1666 (2013.01); G05B 19/4061 (2013.01); G05B 2219/40428 (2013.01); G05B 2219/40429 (2013.01); G05B 2219/40446 (2013.01); G05B 2219/40477 (2013.01);
Abstract

Disclosed techniques for graph generation for online path planning offer multiple advantages, such as providing for high-quality motion during online operation of the robot, while reducing the computational burden of graph generation. Achieving these competing goals involves reducing the dimensionality of the graph generation problem by performing unconstrained sampling that defines partial robot poses that set values for fewer than all configuration parameters of the robot. The remaining configuration parameters for each sample are then determined in dependence on a distance function that relates the partial pose to one or more reference robot poses that are associated with one or more tasks to be performed by the robot and are provided as inputs to the graph generation. Reference robot poses may be determined automatically based on computer analysis of the robot application or may be user-input values.


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