Pohang-si, South Korea

Kyon Mo Yang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations by Kyon Mo Yang: A Look into His Contributions to Robotics

Introduction: Kyon Mo Yang, a notable inventor based in Pohang-si, South Korea, is recognized for his innovative contributions to the field of robotics. His work focuses on enhancing the interaction capabilities of robots within mixed reality environments, showcasing his commitment to advancing technology.

Latest Patents: Kyon Mo Yang holds a patent for an "Interaction training system of robot with MR environment." This invention offers a novel approach in which a robot equipped with a camera and sensors operates within a training space, simulating a virtual environment that closely resembles real-world scenarios. This system is designed to enhance training experiences for users, allowing them to engage with robots in a more immersive and interactive manner.

Career Highlights: Kyon Mo Yang is associated with the Korea Institute of Robot and Convergence, where he has made significant contributions to robotics research and innovation. His dedication to pushing the boundaries of technology has led to the development of systems that facilitate better training and interaction, highlighting his role as a forward-thinking inventor in the robotics domain.

Collaborations: Throughout his career, Kyon Mo Yang has collaborated with talented professionals such as Seung Sub Oh and Kap Ho Seo. These collaborations have allowed for the exchange of ideas and expertise, fostering an environment where innovative solutions can thrive and evolve.

Conclusion: Kyon Mo Yang exemplifies the spirit of innovation in robotics, with his patent for an interaction training system marking a significant advancement in the field. His work at the Korea Institute of Robot and Convergence, along with his partnerships with esteemed colleagues, underscores his impact on the future of robot training methodologies and mixed reality experiences.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…