For the Inventor, By the Inventor

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San Jose, CA, United States of America

Restoration Robotics, Inc.

Calculating rank

USPTO Granted Patents = 105

% Expired Patents = 9.5

CIPO Patents = 4

EPO Patents = 22

Trademarks = 7

Forward Citations = 1,094

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50 inventors (with patents filed for the assignee):

Mohan Bodduluri (32 out of 37 patents)

Clifford A Oostman, Jr (28 out of 30 patents)

Gabriele Zingaretti (26 out of 28 patents)

4. Miguel G Canales (20 out of 20 patents)

5. Hui Zhang (19 out of 40 patents)

6. Shehrzad Ahmed Qureshi (14 out of 24 patents)

7. John A Tenney (10 out of 24 patents)

8. Philip L Gildenberg (10 out of 16 patents)

9. Brian E Tippett (7 out of 7 patents)

10. Ognjen Petrovic (6 out of 6 patents)

11. Kyle R Breton (6 out of 6 patents)

12. James W McCollum (5 out of 5 patents)

13. Donald E Caddes (5 out of 5 patents)

14. Franklin Timothy McArthur (5 out of 5 patents)

15. Timothy J Kirkley (4 out of 4 patents)

Core Competencies:

Hair Loss Management

Follicular Unit Harvesting

Robotic Systems

Automated Procedures

Tensioning Devices

Image Processing

Locator Devices

3D Model Editing

Skin Models

Implantation Tools

Object Tracking

Surgical Instruments

105 patents: Sort by Forward Citations

1. 11026635 - Systems and methods for hair loss management (2021-06-08),

2. 10925641 - Instruments, systems and methods for improving hair transplantation (2021-02-23),

3. 10736662 - Systems and methods for harvesting, storing and implanting hair grafts (2020-08-11),

4. 10568564 - Systems and methods for hair loss management (2020-02-25),

5. 10537396 - Methods and systems for modifying a parameter of an automated procedure (2020-01-21),

6. 10512321 - Methods, systems and instruments for creating partial model of a head for use in hair transplantation (2019-12-24),

7. 10387021 - Robotic hair transplantation system with touchscreen interface for controlling movement of tool (2019-08-20),

8. 10357316 - Systems and methods for planning hair transplantation (2019-07-23),

9. 10327850 - Automated system and method for harvesting or implanting follicular units (2019-06-25),

10. 10327801 - Systems and methods for creating hair transplantation procedure sites (2019-06-25),

11. 10299871 - Automated system and method for hair removal (2019-05-28),

12. 10188466 - Methods and systems for directing movement of a tool in hair transplantation procedures (2019-01-29),

13. 10143522 - Systems and methods for planning hair transplantation (2018-12-04),

14. 10114930 - Systems and methods for creating hair transplantation procedure sites (2018-10-30),

15. 10076352 - Implantation needle (2018-09-18),

Company Overview

Restoration Robotics, Inc., based in San Jose, California, specializes in advanced technologies for hair transplantation. The company focuses on innovative solutions for hair loss management, utilizing robotic systems and automated procedures to enhance the precision and efficiency of follicular unit harvesting. Their expertise extends to the development of tensioning devices, image processing techniques, locator devices, and 3D model editing, positioning them at the forefront of the hair restoration industry.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

105 Patents

#110 in San Jose, CA

#823 in California

#3,629 in US

#7,472 in the World

San Jose, CA, United States of America

Restoration Robotics, Inc.

Forward Citations = 1,094

50 inventors:

Mohan Bodduluri (32 out of 37 patents)

Clifford A Oostman, Jr (28 out of 30 patents)

Gabriele Zingaretti (26 out of 28 patents)

4. Miguel G Canales (20 out of 20 patents)

5. Hui Zhang (19 out of 40 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Restoration Robotics, Inc.. Retrieved from https://idiyas.com/company/restoration-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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