Redwood City, CA, United States of America

Auris Surgical Robotics, Inc.


USPTO Granted Patents = 18

Trademarks = 4

Forward Citations = 7,678

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45 inventors (with patents filed for the assignee):

goldMedal David S Mintz (5 out of 104 patents)

silverMedal Alan L Yu (5 out of 52 patents)

bronzeMedal Travis Michael Schuh (4 out of 59 patents)

4.  Jeffery B Alvarez (3 out of 52 patents)

5.  Frederic H Moll (3 out of 109 patents)

6.  Enrique Romo (3 out of 46 patents)

7.  Joseph Bogusky (3 out of 20 patents)

8.  Kyle Andrew Tucker (2 out of 10 patents)

9.  Jason Lee (2 out of 6 patents)

10.  Gregory T Schulte (2 out of 11 patents)

11.  Paxton H Maeder-York (2 out of 11 patents)

12.  Allen Jiang (2 out of 20 patents)

13.  Benjamin Richter (2 out of 5 patents)

14.  Mark H Olson (2 out of 8 patents)

15.  Jason Gonzalez (2 out of 5 patents)


18 patents:

Company Overview
Auris Surgical Robotics, Inc. is a pioneering company based in Redwood City, California, specializing in advanced robotic systems for surgical applications. The organization focuses on developing innovative technologies that enhance precision and control in minimally invasive procedures, aiming to improve patient outcomes and streamline surgical workflows. By integrating robotics with sophisticated imaging and navigation systems, Auris is at the forefront of transforming surgical practices and advancing the field of robotic-assisted surgery.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 13 2026

18 Patents

#99 in Redwood City, CA

#4,288 in California

#17,963 in US

#34,217 in the World

Redwood City, CA (US)
Redwood City, CA, United States of America
Forward Citations = 7,678

45 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Auris Surgical Robotics, Inc.. Retrieved from https://idiyas.com/company/auris-surgical-robotics

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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