Enter inventor name

Michael Joseph Quinlan

This inventor holds 21 USPTO granted patents and 1 published patent application. Top assignees: Google Inc., X Development LLC, Clover Network, Inc.. Active years: 2019-2026.

USPTO Granted Patents = 21 (Patent Applications = 1)

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 4

Forward Citations = 96(Granted Patents)

Location History:

Mountain View, CA (US) (2021 - 2023)
Sunnyvale, CA (US) (2019 - 2024)

Company Filing History:

First Data Corporation

patents

Years Active: 2019-2026

Loading Chart...

21 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12697711 - Shared dense network with robot task-specific heads (2026-08-04),

2. 12315301 - Engagement detection and attention estimation for human-robot interaction (2025-05-27),

3. 12103190 - Multimodal object identification (2024-10-01),

4. 11945106 - Shared dense network with robot task-specific heads (2024-04-02),

5. 11915523 - Engagement detection and attention estimation for human-robot interaction (2024-02-27),

6. 11853990 - Systems and methods for providing a point of sale platform (2023-12-26),

7. 11769269 - Fusing multiple depth sensing modalities (2023-09-26),

8. 11766783 - Object association using machine learning models (2023-09-26),

9. 11618167 - Pixelwise filterable depth maps for robots (2023-04-04),

10. 11587302 - Shared dense network with robot task-specific heads (2023-02-21),

11. 11561623 - Systems and methods for adjusting point-of-sale interfaces (2023-01-24),

12. 11450018 - Fusing multiple depth sensing modalities (2022-09-20),

13. 11440196 - Object association using machine learning models (2022-09-13),

14. 11436869 - Engagement detection and attention estimation for human-robot interaction (2022-09-06),

15. 11151536 - Systems and methods for providing a point of sale platform (2021-10-19),

Title: Michael Joseph Quinlan: A Pioneer in Robotic Innovations

Introduction

Michael Joseph Quinlan is an accomplished inventor based in Sunnyvale, California, with a remarkable portfolio comprising 19 patents. His innovative work primarily focuses on advancements in robotic technologies, demonstrating a commitment to enhancing the interaction between robots and their environments.

Latest Patents

Quinlan's latest patents showcase groundbreaking methodologies that significantly improve robotic functionality. One such patent, titled "Multimodal Object Identification," describes methods, systems, and apparatuses for controlling robots based on human gestures. The invention enables robots to identify spatial regions beyond their immediate surroundings and perform actions concerning objects indicated by human commands.

Another notable patent, "Shared Dense Network with Robot Task-Specific Heads," outlines a method that utilizes image data from a robotic device's camera. This approach applies a trained dense network to generate feature values for different robot vision tasks, enhancing the robot’s ability to navigate and interact with its environment effectively.

Career Highlights

Throughout his career, Quinlan has worked with leading companies, including X Development LLC and Clover Network, Inc. His roles in these organizations have allowed him to contribute to significant advancements in the field of robotics, paving the way for future innovations.

Collaborations

Quinlan has collaborated with talented individuals in the industry, including Sean Kirmani and John Daniel Beatty. These partnerships have fostered a stimulating environment for creativity and the development of cutting-edge technologies.

Conclusion

Michael Joseph Quinlan stands out as a trailblazer in the realm of robotic innovations. His extensive portfolio of patents and collaborative efforts illustrate his dedication to advancing robotics and technology. As he continues to innovate, Quinlan's contributions will undoubtedly shape the future of robotics and enhance their capabilities in our everyday lives.

This text is generated by artificial intelligence and may not be accurate.

Please report any incorrect information to [email protected]