For the Inventor, By the Inventor

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Pittsburgh, PA, United States of America

Redzone Robotics, Inc.

USPTO Granted Patents = 36

% Expired Patents = 5.6

CIPO Patents = 1

EPO Patents = 1

Trademarks = 11

Forward Citations = 356

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53 inventors (with patents filed for the assignee):

Justin Starr (17 out of 24 patents)

Foster J Salotti (16 out of 16 patents)

Todd Kueny (16 out of 18 patents)

4. Eric C Close (14 out of 14 patents)

5. Galin Konakchiev (12 out of 12 patents)

6. Subramanian Vallapuzha (10 out of 10 patents)

7. Adam Slifko (10 out of 10 patents)

8. Thorin Tobiassen (7 out of 9 patents)

9. Nate Alford (7 out of 7 patents)

10. Mark Jordan (7 out of 7 patents)

11. Jason Mizgorski (6 out of 6 patents)

12. John Lettman (5 out of 5 patents)

13. Scott Mason Thayer (5 out of 10 patents)

14. Edison Thurman Hudson (4 out of 22 patents)

15. Timothy Renton (4 out of 4 patents)

Core Competencies:

Infrastructure Inspection

Multi-Sensor Analysis

Robotic Testing

Augmented Reality

Pipe Imaging

Data Management

UAV Sensing

Condition Monitoring

Mobile Platform

Feature Identification

Chemical Analysis

Network Architecture

36 patents: Sort by Forward Citations

1. 12118703 - Photo-realistic infrastructure inspection (2024-10-15),

2. 12039712 - Underground infrastructure feature identification using multi-sensor inspection data analysis (2024-07-16),

3. 11949989 - Multiple camera imager for inspection of large diameter pipes, chambers or tunnels (2024-04-02),

4. 11908048 - Managing infrastructure data (2024-02-20),

5. 11867641 - Image processing techniques for multi-sensor inspection of pipe interiors (2024-01-09),

6. 11719853 - Underground infrastructure sensing using unmanned aerial vehicle (UAV) (2023-08-08),

7. 11674943 - Method and apparatus for robotic, in-pipe water quality testing (2023-06-13),

8. 11192262 - Controlling robot with head mounted controller (2021-12-07),

9. 11125910 - Underground infrastructure sensing using unmanned aerial vehicle (UAV) (2021-09-21),

10. 11029257 - Image processing techniques for multi-sensor inspection of pipe interiors (2021-06-08),

11. 10976734 - Augmented reality (AR) display of pipe inspection data (2021-04-13),

12. 10970833 - Pipe image feature analysis using calibration data (2021-04-06),

13. 10937144 - Pipe feature identification using pipe inspection data analysis (2021-03-02),

14. 10859554 - Method and apparatus for robotic, in-pipe water quality testing (2020-12-08),

15. 10783680 - Server-based management of robotic pipe inspection data and analysis reports (2020-09-22),

Company Overview

Redzone Robotics, Inc. is a technology company based in Pittsburgh, PA, specializing in advanced robotic solutions for infrastructure inspection and maintenance. The organization focuses on developing autonomous robotic systems that enhance the efficiency and safety of inspecting critical assets such as pipelines and sewer systems. By leveraging cutting-edge robotics and data analytics, Redzone Robotics aims to transform traditional inspection methods, providing innovative tools that support infrastructure management and sustainability efforts.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

36 Patents

#65 in Pittsburgh, PA

#343 in Pennsylvania

#9,502 in US

#18,716 in the World

Pittsburgh, PA, United States of America

Redzone Robotics, Inc.

Forward Citations = 356

53 inventors:

Justin Starr (17 out of 24 patents)

Foster J Salotti (16 out of 16 patents)

Todd Kueny (16 out of 18 patents)

4. Eric C Close (14 out of 14 patents)

5. Galin Konakchiev (12 out of 12 patents)

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