Augustow, Poland

Kamil Kuklinski


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Kamil Kuklinski: Innovator in Robotic Control Systems

Introduction

Kamil Kuklinski is a notable inventor based in Augustow, Poland. He has made significant contributions to the field of robotics, particularly in the area of dynamic control systems for industrial robots. His innovative approach has led to the development of a unique patent that enhances the functionality of robotic systems.

Latest Patents

Kuklinski holds a patent for a "Device for dynamic switching of robot control points." This invention comprises a system that allows for seamless switching between control points of a robotic system. The system involves an industrial robot equipped with a robot arm that has multiple joints and a tool interest point that is movable in various degrees of freedom. This advancement is crucial for improving the efficiency and adaptability of robotic operations in various industrial applications.

Career Highlights

Kamil Kuklinski is currently associated with Syddansk Universitet, where he continues to explore and develop innovative solutions in robotics. His work focuses on enhancing the capabilities of robotic systems, making them more versatile and effective in real-world applications. His dedication to research and development has positioned him as a key figure in the field of robotics.

Collaborations

Kuklinski collaborates with talented individuals such as Thiusius Rajeeth Savarimuthu and Dorthe Soelvason. These partnerships foster a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Kamil Kuklinski's contributions to robotic control systems exemplify the spirit of innovation in engineering. His patent and ongoing work at Syddansk Universitet highlight his commitment to advancing technology in the field of robotics. His efforts are paving the way for more efficient and adaptable robotic systems in the future.

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