Redmond, WA, United States of America

Patrick McKinley Jarvis

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.7

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Patrick McKinley Jarvis: Innovator in Robot Control Systems

Introduction

Patrick McKinley Jarvis is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of robotics, particularly in the development of systems for testing and training robot control modules. With a total of 2 patents, Jarvis continues to push the boundaries of technology in this rapidly evolving industry.

Latest Patents

Jarvis's latest patents include a "System for testing and training robot control" and a "Wearable robot data collection system with human-machine operation interface." The first patent outlines a method for training and testing a robot control module. This method involves generating instructions for a human-driven robot task, providing these instructions to a mixed reality device, and collecting performance and environmental data during the task. The second patent describes a data collection system that captures human-driven robot actions for robot learning. This system features a wearable computation subsystem and a human-machine operation interface that allows data collectors to operate robotic grippers effectively.

Career Highlights

Jarvis is currently employed at Acumino, where he applies his expertise in robotics to develop innovative solutions. His work focuses on enhancing the interaction between humans and robots, making significant strides in the field of human-robot collaboration.

Collaborations

Some of his coworkers include Ke Wang and Minas Liarokapis, who contribute to the collaborative environment at Acumino. Their combined efforts foster innovation and drive advancements in robotic technologies.

Conclusion

Patrick McKinley Jarvis is a pioneering inventor whose work in robot control systems is shaping the future of robotics. His patents reflect a commitment to improving human-robot interaction and advancing the capabilities of robotic systems.

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