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. 23, 2022

Filed:

Sep. 13, 2019
Applicant:

Verb Surgical Inc., Mountain View, CA (US);

Inventors:

David Monteverde, Mountain View, CA (US);

Matthew Williams, Mountain View, CA (US);

Andrew Bzostek, Mountain View, CA (US);

Assignee:

Verb Surgical Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 19/04 (2006.01); G05B 19/18 (2006.01); A61B 34/30 (2016.01); B25J 13/06 (2006.01); B25J 9/16 (2006.01); B25J 19/00 (2006.01); A61B 34/37 (2016.01); A61B 34/10 (2016.01); A61B 17/00 (2006.01); A61B 34/20 (2016.01); A61B 90/00 (2016.01);
U.S. Cl.
CPC ...
A61B 34/30 (2016.02); B25J 9/1605 (2013.01); B25J 9/1633 (2013.01); B25J 9/1664 (2013.01); B25J 9/1679 (2013.01); B25J 9/1689 (2013.01); B25J 9/1692 (2013.01); B25J 13/06 (2013.01); B25J 19/007 (2013.01); B25J 19/0095 (2013.01); A61B 34/37 (2016.02); A61B 2017/00725 (2013.01); A61B 2034/107 (2016.02); A61B 2034/2055 (2016.02); A61B 2090/066 (2016.02); A61B 2090/3937 (2016.02);
Abstract

For kinetic sizing, the dynamic torque to be provided by a robotic system may be based off of, in part, a maximum acceleration. Rather than trying to extract maximum acceleration from many samples, a relationship of velocity to acceleration from repetitive user inputs relative to a non-surgical target in different situations (e.g., accurate, fast, or balance tracing of the target movement) is established. The velocity for any given situation may be used to estimate the acceleration from the relationship. Rather than using many trajectory samples from many users, a synthetic trajectory may be used. The synthetic trajectory may be fit to user data while maintaining high-coverage properties for direction of movement for any given pose of the robot. Alternatively, a virtual trajectory decoupled from time is used. The virtual trajectory samples the directions at any given pose in a global high-coverage manner, without specifically using a time-dependent sequence of poses.


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