Seoul, South Korea

Yeseong Park


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Yeseong Park: Innovator in Robotics and Artificial Intelligence

Introduction

Yeseong Park is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of robotics, particularly through his innovative use of artificial neural networks. His work focuses on enhancing the capabilities of robots, making them more efficient and intelligent.

Latest Patents

Yeseong Park holds a patent for a "Control server and method for controlling robot using artificial neural network, and robot implementing the same." This invention discloses a control server and method that utilizes an artificial neural network to manage a robot's operations. The robot is equipped with a driver and a processor that controls the driver using an algorithm model based on artificial neural networks. The learning processor is responsible for refining this algorithm model, which includes two generative adversarial networks (GANs). The processor generates a variety of real-like-fake images and learns from them to produce a canonical image that guides the robot's actions.

Career Highlights

Throughout his career, Yeseong Park has worked with notable organizations, including LG Electronics Inc. and the Industry-University Cooperation Foundation at Hanyang University. His experience in these institutions has allowed him to develop and refine his innovative ideas in robotics and artificial intelligence.

Collaborations

Yeseong Park has collaborated with several talented individuals in his field, including Sung Gil Park and Byeonggil Yoo. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.

Conclusion

Yeseong Park is a key figure in the realm of robotics and artificial intelligence, with a focus on enhancing robot functionality through innovative technologies. His contributions, particularly in the development of neural network-based control systems, are paving the way for future advancements in the field.

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