For the Inventor, By the Inventor

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Pittsburgh, PA, United States of America

Agility Robotics, Inc.

USPTO Granted Patents = 33

EPO Patents = 1

Forward Citations = 67

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47 inventors (with patents filed for the assignee):

Jonathan Hurst (14 out of 17 patents)

Andrew Abate (11 out of 11 patents)

Dylan Thrush (8 out of 8 patents)

4. Kevin Sweeney (8 out of 8 patents)

5. Mitchell Bernards (7 out of 7 patents)

6. Ryan Domres (4 out of 4 patents)

7. Stefan Klein (4 out of 4 patents)

8. Taylor Apgar (4 out of 4 patents)

9. Juan Fernando Medrano Yax (4 out of 5 patents)

10. Yaadhav Raaj (4 out of 5 patents)

11. Alejandro Perez (3 out of 4 patents)

12. Todd Lewis (3 out of 3 patents)

13. Prasanna Velagapudi (2 out of 216 patents)

14. Frankie Vazquez (2 out of 19 patents)

15. Damion Shelton (2 out of 2 patents)

Core Competencies:

Mobile Robots

Object Manipulation

Hazard Response

Robot Joints

Lidar Sensors

Bimanual Robotics

Dynamic Balancing

Grippers

Cycloid Gear Assembly

Legged Robots

Machine Learning

Delivery Vehicles

33 patents: Sort by Forward Citations

1. 12735263 - Order-fulfillment system including multipurpose mobile robots and related technology (2026-09-15),

2. 12681459 - Generating object references from perception data in unstructured environments and related technology (2026-07-14),

3. 12638848 - Docks for legged robots and related technology (2026-05-26),

4. 12636777 - Object placing via a mobile robot including nudging and related technology (2026-05-26),

5. 12623362 - Robot joint with wire routing for enhanced durability and related technology (2026-05-12),

6. 12560948 - Escalating hazard-response of dynamically stable mobile robot in a collaborative environment and related technology (2026-02-24),

7. 12560937 - Docks for legged robots and related technology (2026-02-24),

8. 12558791 - Lidar sensors of legged robots and related technology (2026-02-24),

9. 12552606 - Robotic manipulation with bimanual and nonprehensile aspects and related technology (2026-02-17),

10. 12552027 - Generating references for robot-carried objects and related technology (2026-02-17),

11. 12521894 - Generating references for robot-carried objects and related technology (2026-01-13),

12. 12498019 - Cycloid gear assembly with alternating contact between transfer members and pins and related technology (2025-12-16),

13. 12497113 - Coordinating dynamic balancing with object manipulation by a robot and related technology (2025-12-16),

14. 12485558 - Robot joint with wire routing for enhanced durability and related technology (2025-12-02),

15. 12482243 - Leveraging environmental information to facilitate training and evaluating machine learning models and related technology (2025-11-25),

Company Overview

Agility Robotics, Inc. is a pioneering company based in Pittsburgh, PA, specializing in the development of advanced robotic systems. The organization focuses on creating bipedal robots that are designed to navigate complex environments and perform tasks that require human-like mobility and dexterity. Their research encompasses areas such as robotics, artificial intelligence, and machine learning, aiming to enhance the capabilities of robots in various applications, including logistics, healthcare, and service industries.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

33 Patents

#74 in Pittsburgh, PA

#372 in Pennsylvania

#10,309 in US

#20,162 in the World

Pittsburgh, PA, United States of America

Agility Robotics, Inc.

Forward Citations = 67

47 inventors:

Jonathan Hurst (14 out of 17 patents)

Andrew Abate (11 out of 11 patents)

Dylan Thrush (8 out of 8 patents)

4. Kevin Sweeney (8 out of 8 patents)

5. Mitchell Bernards (7 out of 7 patents)

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