Kin Chung Denny Fu

Title: Innovations by Kin Chung Denny Fu

Introduction

Kin Chung Denny Fu is a notable inventor based in Kyoto, Japan. He has made significant contributions to the field of robotics and simulation technology. With a total of three patents to his name, Fu's work focuses on enhancing the capabilities of robots through advanced simulation techniques.

Latest Patents

One of Fu's latest patents is titled "Simulation of liquid objects manipulated by robots using supervised learning." This innovative simulation device reduces the computational load required for simulating the movement of operational subjects. It includes a processor that sets framing conditions for a model representing the operation subject, simulates the movement under various conditions, and generates learning data for supervised learning. This learning model outputs data representing the movement of representative points on the operation subject.

Another significant patent is for an "Image generation device, robot training system, image generation method, and non-transitory computer readable storage medium." This device generates learning images for training robots to perform prescribed operations on workpieces. It utilizes two image acquisition units to capture real and virtual operation spaces, transforming the virtual images to closely approximate the real robot's actions.

Career Highlights

Fu is currently employed at Omron Corporation, a leading company in automation and robotics. His work at Omron has allowed him to apply his innovative ideas in practical settings, contributing to the advancement of robotic technologies.

Collaborations

Fu collaborates with talented coworkers, including Yuki Yamaguchi and Yohei Okawa. Their combined expertise fosters a creative environment that enhances the development of cutting-edge technologies.

Conclusion

Kin Chung Denny Fu's contributions to robotics and simulation technology exemplify the spirit of innovation. His patents reflect a commitment to improving robotic capabilities through advanced simulation techniques. Fu's work continues to influence the field, paving the way for future advancements in robotics.