IDiyas

For the Inventor, By the Inventor

Redmond, WA, United States of America

Jonathan Tremblay

USPTO Granted Patents = 20 

Average Co-Inventor Count = 5.2

ph-index = 2

Forward Citations = 20(Granted Patents)


Company Filing History:

goldMedal20 out of 5,406 
 
Nvidia Corporation
 patents

Years Active: 2020-2025

Loading Chart...
20 patents (USPTO):
1. 12472628 - Grasp pose prediction (2025-11-18),
2. 12456277 - Determining object orientation from an image with machine learning (2025-10-28),
3. 12444126 - Neural network-based view synthesis (2025-10-14),
4. 12430702 - Learning robotic tasks using one or more neural networks (2025-09-30),
5. 12390926 - Machine learning model for task and motion planning (2025-08-19),
6. 12194632 - Robotic control system (2025-01-14),
7. 12175703 - Single-stage category-level object pose estimation (2024-12-24),
8. 12109701 - Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning (2024-10-08),
9. 12017352 - Transformation of joint space coordinates using machine learning (2024-06-25),
10. 11941899 - Data selection based on uncertainty quantification (2024-03-26),
11. 11941719 - Learning robotic tasks using one or more neural networks (2024-03-26),
12. 11931909 - Data selection based on uncertainty quantification (2024-03-19),
13. 11833681 - Robotic control system (2023-12-05),
14. 11830145 - Generation of differentiable, manifold meshes of arbitrary genus (2023-11-28),
15. 11715251 - Neural network model trained using generated synthetic images (2023-08-01),

Title: The Innovative Mind of Jonathan Tremblay: Transforming Robotics at Nvidia

Introduction

Jonathan Tremblay, an inventive engineer based in Redmond, WA, has carved a niche for himself in the field of robotics. With a remarkable portfolio of 15 patents, Tremblay is known for his innovative contributions that push the boundaries of modern technology.

Latest Patents

Among his latest inventions is a **Robotic Control System**, which enables an advanced gripper on a robot to effectively grasp 3-dimensional objects. A key feature of this system is the use of a camera mounted on the gripper to determine the relative position between the robot and the objects it manipulates. Another notable patent is the **Single-stage Category-level Object Pose Estimation**, which involves systems and techniques for determining the pose and relative dimensions of an object from an image. This technology utilizes image features to derive pivotal information regarding the object.

Career Highlights

Tremblay’s career is largely associated with Nvidia Corporation, where he plays a crucial role in advancing robotic technologies. His expertise in robotics and computer vision has positioned him as a valuable asset to the company, enhancing their innovative endeavors.

Collaborations

At Nvidia, Tremblay collaborates with talented individuals such as Stanley Thomas Birchfield and Thang Hong To. Together, they foster a dynamic environment that encourages the exchange of ideas and accelerates the development of groundbreaking solutions in robotics.

Conclusion

Jonathan Tremblay represents the spirit of innovation within the technology sector. Through his significant patents and collaborative efforts at Nvidia Corporation, he continues to influence the future of robotics and automation. His work exemplifies how dedicated inventors can lead the charge toward a more efficient and technologically advanced world.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…