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San Francisco, CA, United States of America

Kindred Systems Inc.

Calculating rank

USPTO Granted Patents = 31

EPO Patents = 1

Forward Citations = 116

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32 inventors (with patents filed for the assignee):

James Sterling Bergstra (10 out of 15 patents)

David Gabriel Hallock (9 out of 17 patents)

Suzanne Gildert (9 out of 46 patents)

4. George Samuel Rose (6 out of 7 patents)

5. Adrian Martin (5 out of 5 patents)

6. Kevin George (4 out of 5 patents)

7. Jun Jeong (3 out of 8 patents)

8. Bryan Whittington (3 out of 6 patents)

9. Thomas John Hummel (3 out of 8 patents)

10. Petr Lipay (3 out of 5 patents)

11. Olivia S Norton (3 out of 4 patents)

12. Douglas Ian Fulop (3 out of 3 patents)

13. Dmytro Korenkevych (2 out of 7 patents)

14. George Babu (2 out of 3 patents)

15. Weiguang Ding (2 out of 14 patents)

Core Competencies:

Calibration

Robotic Control

Grasping Surface

Parallelization

RFID Singulation

Object Detection

Dynamic Collision Modeling

Neural Networks

Augmented Reality

Electromagnetic Shielding

Self-Preservation

User Input

31 patents: Sort by Forward Citations

1. 11648678 - Systems, devices, articles, and methods for calibration of rangefinders and robots (2023-05-16),

2. 11625030 - Facilitating robotic control using a virtual reality interface (2023-04-11),

3. 11559884 - Systems and methods for a passive grasping surface on an active grasping robotic manipulator (2023-01-24),

4. 11458621 - Systems, devices, articles, and methods for parallelization of robots in synchronous communication framework (2022-10-04),

5. 11449694 - Motion-based singulation of RFID tagged object (2022-09-20),

6. 11426864 - Robot manipulator system and methods for providing supplemental securement of objects (2022-08-30),

7. 11359958 - Multiple object detection (2022-06-14),

8. 11312014 - System and method for robotic gripping utilizing dynamic collision modeling for vacuum suction and finger control (2022-04-26),

9. 11279030 - Systems, devices, articles, and methods for using trained robots (2022-03-22),

10. 11097417 - Systems, devices, articles and methods for the partition of items (2021-08-24),

11. 11072067 - Systems, devices, and methods for distributed artificial neural network computation (2021-07-27),

12. 11003872 - Motion-based singulation of RFID tagged object (2021-05-11),

13. 10994417 - Systems, devices, and methods for the distribution and collection of multimodal data associated with robots (2021-05-04),

14. 10933533 - Systems, devices, articles, and methods for stow verification (2021-03-02),

15. 10909336 - Systems and methods for singulation of an object immersed in a volume containing a plurality of objects (2021-02-02),

Company Overview

Kindred Systems Inc. is a technology company based in San Francisco, specializing in advanced robotics and artificial intelligence. The organization focuses on developing intelligent robotic systems designed to enhance automation in various industries, particularly in logistics and warehousing. By leveraging machine learning and computer vision, Kindred aims to create solutions that improve operational efficiency and adaptability in dynamic environments. Their innovative approach positions them at the forefront of the robotics sector, driving advancements in automation technology.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

31 Patents

#156 in San Francisco, CA

#2,616 in California

#10,946 in US

#21,301 in the World

San Francisco, CA, United States of America

Kindred Systems Inc.

Forward Citations = 116

32 inventors:

James Sterling Bergstra (10 out of 15 patents)

David Gabriel Hallock (9 out of 17 patents)

Suzanne Gildert (9 out of 46 patents)

4. George Samuel Rose (6 out of 7 patents)

5. Adrian Martin (5 out of 5 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Kindred Systems Inc.. Retrieved from https://idiyas.com/company/kindred-systems

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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