This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Intrinsic Innovation LLC. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: Sean Alexander Rowan: Innovator in Real-Time Robotics Control
Introduction
Sean Alexander Rowan is a notable inventor based in Ben Lamond, California. He has made significant contributions to the field of robotics, particularly in the area of real-time control systems. His innovative approach has led to the development of a unique framework that enhances the capabilities of robotic systems.
Latest Patents
Sean holds a patent for a "Real-time robotics control framework." This invention encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling a robot to perform custom real-time actions. The patent outlines a method that involves receiving a definition of a custom real-time control function, which specifies a plurality of actions and one or more custom reactions. The framework repeatedly executes this function at each tick of a real-time robotics system, driving one or more physical robots. It includes obtaining current values of state variables, evaluating custom reactions based on these values, and updating actions in real time whenever a custom reaction is satisfied.
Career Highlights
Sean is currently associated with Intrinsic Innovation LLC, where he applies his expertise in robotics and control systems. His work focuses on advancing the capabilities of robotic technologies, making them more responsive and adaptable to real-time conditions.
Collaborations
Sean collaborates with talented individuals in his field, including Andre Gaschler and Gregory Prisament. Their combined efforts contribute to the innovative projects at Intrinsic Innovation LLC.
Conclusion
Sean Alexander Rowan is a pioneering inventor whose work in real-time robotics control is shaping the future of robotic applications. His contributions are vital in enhancing the functionality and responsiveness of robotic systems.