Seattle, WA, United States of America

Matthew Brown

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.1

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Matthew Brown

Introduction

Matthew Brown is an accomplished inventor based in Seattle, WA, known for his significant contributions to robotic assembly systems. With a total of two patents to his name, Brown has made strides in enhancing the efficiency and accuracy of robotic operations.

Latest Patents

Brown's latest patents include a "Method and apparatus for vision-based tool localization" and a "Method and apparatus for improved auto-calibration of a robotic cell." The first patent outlines a method for vision-based tool localization (VTL) in a robotic assembly system. This method involves capturing multiple images of the tool contact area from various vantage points, estimating the position of the tool contact area based on these images, and refining the estimated position to enable precise control of the tool by the robotic assembly system. The second patent focuses on a robotic cell calibration method that localizes the positions of cameras and components relative to a robotic arm. It includes real-time identification of discrepancies in the robotic arm's position and computes compensations to modify the arm's actions during movement.

Career Highlights

Matthew Brown is currently employed at Bright Machines, Inc., where he applies his expertise in robotics and automation. His work has been pivotal in advancing the capabilities of robotic systems, making them more adaptable and efficient in various applications.

Collaborations

Brown collaborates with talented individuals such as Ronald Poelman and Barrett Clark, contributing to a dynamic team environment that fosters innovation and creativity.

Conclusion

Matthew Brown's innovative patents and contributions to robotic technology highlight his role as a leading inventor in the field. His work continues to influence the future of automation and robotics.

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