Cupertino, CA, United States of America

Justin Sunjoon Kim

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Justin Sunjoon Kim: Innovator in Robotic Systems

Introduction

Justin Sunjoon Kim is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of robotics, particularly with his innovative designs that enhance robotic functionality. His work is characterized by a focus on practical applications that improve efficiency and usability in robotic systems.

Latest Patents

Justin holds a patent for a "Robot carriage tray table." This invention is a task table designed for use in a robotic system, which includes a robot mounted on a carriage. The robot is configured to move along a designated path. The task table features a substantially horizontal table surface and one or more mounting arms. These arms allow the table surface to be affixed at a distance from the robot's base, enabling the robot to reach various locations on the table surface with a desired pose. This innovation showcases Justin's ability to blend functionality with advanced technology.

Career Highlights

Justin is currently employed at Dexterity, Inc., where he continues to develop cutting-edge robotic solutions. His work at Dexterity has positioned him as a key player in the advancement of robotic systems. With a focus on practical applications, he has contributed to projects that enhance the capabilities of robots in various settings.

Collaborations

Throughout his career, Justin has collaborated with talented individuals such as Andrew Lovett and Alberto Leyva Arvayo. These collaborations have allowed him to leverage diverse expertise and drive innovation in his projects.

Conclusion

Justin Sunjoon Kim is a notable inventor whose work in robotic systems is paving the way for future advancements. His patent for the robot carriage tray table exemplifies his innovative spirit and commitment to enhancing robotic functionality.

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