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. 05, 2025

Filed:

Oct. 14, 2020
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Ian M. Richter, Los Angeles, CA (US);

Amritpal Singh Saini, San Jose, CA (US);

Olivier Soares, Oakland, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 18/21 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01); G06T 19/00 (2011.01); G06T 15/00 (2011.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 16/951 (2019.01); G06F 18/217 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 19/006 (2013.01); G06T 15/005 (2013.01);
Abstract

Various implementations disclosed herein include devices, systems, and methods for presenting objective-effectuators in synthesized reality settings. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, a method includes instantiating an objective-effectuator into a synthesized reality setting. In some implementations, the objective-effectuator is characterized by a set of predefined actions and a set of visual rendering attributes. In some implementations, the method includes obtaining an objective for the objective-effectuator. In some implementations, the method includes determining contextual information characterizing the synthesized reality setting. In some implementations, the method includes generating a sequence of actions from the set of predefined actions based on the contextual information and the objective. In some implementations, the method includes modifying the objective-effectuator based on the sequence of actions.


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