For the Inventor, By the Inventor

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Mountain View, CA, United States of America

Uatc, LLC

USPTO Granted Patents = 473

% Expired Patents = 0.21

CIPO Patents = 2

EPO Patents = 35

Forward Citations = 1,789

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373 inventors (with patents filed for the assignee):

Raquel Urtasun (73 out of 111 patents)

David McAllister Bradley (45 out of 71 patents)

Shenlong Wang (33 out of 48 patents)

4. Michael Lee Phillips (20 out of 48 patents)

5. Bryan John Nagy (19 out of 31 patents)

6. Carlos Vallespi-Gonzalez (19 out of 36 patents)

7. Scott C Poeppel (19 out of 35 patents)

8. Molly Castle Nix (19 out of 54 patents)

9. Ming Liang (18 out of 25 patents)

10. Wei-Chiu Ma (17 out of 22 patents)

11. Galen Clark Haynes (17 out of 23 patents)

12. Bin Yang (17 out of 24 patents)

13. Nicholas G Letwin (16 out of 32 patents)

14. Matthew Shaw Wood (15 out of 26 patents)

15. Brett Bavar (15 out of 17 patents)

Core Competencies:

Motion Control

Object Detection

LIDAR Systems

Sensor Fusion

Trajectory Prediction

Autonomous Navigation

Fault-Tolerance

Vehicle Management

Automated Delivery

Spatial Path Sampling

Robotic Platforms

Machine Learning

473 patents: Sort by Forward Citations

1. 12709301 - Systems and Methods for Autonomous Vehicle Motion Control and Motion Path Adjustments (2026-08-18),

2. 12128961 - Movable front shield for vehicles (2024-10-29),

3. 12062291 - Systems and methods for managing space at a location for receiving assets (2024-08-13),

4. 12055945 - Systems and methods for controlling an autonomous vehicle with occluded sensor zones (2024-08-06),

5. 12055933 - Fault-tolerant control of an autonomous vehicle with multiple control lanes (2024-08-06),

6. 12051001 - Multi-task multi-sensor fusion for three-dimensional object detection (2024-07-30),

7. 12050272 - Light detection and ranging (LIDAR) system (2024-07-30),

8. 12049238 - Systems and methods for autonomous vehicle motion control and motion path adjustments (2024-07-30),

9. 12045058 - Systems and methods for vehicle spatial path sampling (2024-07-23),

10. 12045054 - Discrete decision architecture for motion planning system of an autonomous vehicle (2024-07-23),

11. 12043253 - Autonomous vehicle motion control systems and methods (2024-07-23),

12. 12038747 - Fault-tolerant control of an autonomous vehicle with multiple control lanes (2024-07-16),

13. 12037027 - Systems and methods for generating synthetic motion predictions (2024-07-16),

14. 12037025 - Systems and methods for motion forecasting and planning for autonomous vehicles (2024-07-16),

15. 12032067 - System and method for identifying travel way features for autonomous vehicle motion control (2024-07-09),

Company Overview

Uatc, LLC, based in Mountain View, CA, specializes in advanced technologies for autonomous vehicles. The company focuses on critical areas such as motion control, object detection, and LIDAR systems, which are essential for the development of self-driving capabilities. Uatc also emphasizes sensor fusion and trajectory prediction to enhance autonomous navigation and ensure fault-tolerance in vehicle management systems. Their innovative solutions aim to improve safety and efficiency in the rapidly evolving automotive landscape.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

473 Patents

#11 in Mountain View, CA

#223 in California

#1,016 in US

#2,026 in the World

Mountain View, CA, United States of America

Uatc, LLC

Forward Citations = 1,789

373 inventors:

Raquel Urtasun (73 out of 111 patents)

David McAllister Bradley (45 out of 71 patents)

Shenlong Wang (33 out of 48 patents)

4. Michael Lee Phillips (20 out of 48 patents)

5. Bryan John Nagy (19 out of 31 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Uatc, LLC. Retrieved from https://idiyas.com/company/uatc

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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