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:
Aug. 26, 2025

Filed:

Oct. 11, 2019
Applicant:

Omron Corporation, Kyoto, JP;

Inventors:

Yohei Okawa, Koshigaya, JP;

Yoshiya Shibata, Tokyo, JP;

Chisato Saito, Tokyo, JP;

Kennosuke Hayashi, Tokyo, JP;

Kin Chung Denny Fu, Kyoto, JP;

Yuki Yamaguchi, Nara, JP;

Assignee:

OMRON Corporation, Kyoto, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/25 (2020.01); B25J 9/16 (2006.01); G06F 30/27 (2020.01); G06F 113/08 (2020.01); G06N 20/00 (2019.01); G05B 17/02 (2006.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/25 (2020.01); G06N 20/00 (2019.01); B25J 9/1605 (2013.01); B25J 9/163 (2013.01); B25J 9/1671 (2013.01); G05B 17/02 (2013.01); G05B 2219/40073 (2013.01); G06F 2113/08 (2020.01);
Abstract

A simulation device that reduces the computation load required for simulation of the movement of an operation subject is provided. The simulation device includes a processor configured to set framing conditions for a model representing the operation subject, set conditions for external force applied to the operation subject, simulate the movement of the operation subject under the framing conditions and the conditions for external force, generate learning data that includes data representing the framing conditions, the conditions for external force, and the movement of representative points located on the surface of the operation subject during simulation of the movement of the operation subject, and by supervised learning using the learning data, generate a learning model that takes the framing conditions, the conditions for external force, and the initial conditions of the representative points as input and outputs data representing the movement of the representative points.


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