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:
Jul. 18, 2023

Filed:

May. 23, 2019
Applicant:

Aeolus Robotics, Inc., South San Francisco, CA (US);

Inventors:

Sławomir Wojciechowski, Wrocław, PL;

Gregg Podnar, Lakewood, OH (US);

T. William Mather, Philadelphia, PA (US);

Theodore Enns, Menlo Park, CA (US);

Daniel Oblinger, San Francisco, CA (US);

Assignee:

AEOLUS ROBOTICS, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/16 (2006.01); B25J 11/00 (2006.01); A61B 5/00 (2006.01); B25J 9/16 (2006.01); G16H 50/20 (2018.01); B25J 9/00 (2006.01); G10L 15/22 (2006.01); G06V 20/00 (2022.01); G06V 40/20 (2022.01); G16H 50/30 (2018.01); A61B 5/11 (2006.01); G06V 10/80 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
A61B 5/165 (2013.01); A61B 5/0077 (2013.01); A61B 5/1113 (2013.01); A61B 5/1128 (2013.01); A61B 5/4803 (2013.01); A61B 5/7267 (2013.01); A61B 5/746 (2013.01); B25J 9/0003 (2013.01); B25J 9/163 (2013.01); B25J 9/1661 (2013.01); B25J 9/1697 (2013.01); B25J 11/0005 (2013.01); B25J 11/008 (2013.01); B25J 11/009 (2013.01); G06V 10/811 (2022.01); G06V 20/10 (2022.01); G06V 20/35 (2022.01); G06V 40/20 (2022.01); G06V 40/28 (2022.01); G10L 15/22 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 2560/0242 (2013.01); A61B 2560/0252 (2013.01); A61B 2560/0257 (2013.01); A61B 2560/0261 (2013.01); A61B 2562/0247 (2013.01); A61B 2562/0271 (2013.01); G10L 2015/223 (2013.01); G10L 2015/228 (2013.01);
Abstract

Described herein are assistant robots that anticipate needs of one or more people (or animals). The assistant robots may recognize a current activity, knowledge of the person's routines, and contextual information. As such, the assistant robots can provide or offer to provide appropriate robotic assistance. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.


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