Kan Chen

Papers

Total Citations

H-Index

About

Kan Chen is a pioneering researcher whose work bridges the foundational principles of robotics with the cutting-edge challenges of the Metaverse. His research spans task-oriented system design, real-time modeling, and the societal implications of automation. Chen's most notable recent contribution is a 2023 paper on "Task-Oriented Cross-System Design for Timely and Accurate Modeling in the Metaverse," which has garnered 21 citations. This work establishes a groundbreaking framework that integrates sensing, communication, prediction, control, and rendering to minimize packet rates while ensuring precise modeling of physical systems, such as robotic arms, in virtual environments. By addressing the critical trade-off between timeliness and accuracy, Chen's framework offers a scalable solution for real-time digital twin applications. His earlier work, "Robotics: Applications & Social Implications" (1984), though less cited, reflects a long-standing commitment to exploring the broader impact of automation on society. Chen's contributions are particularly relevant for researchers and students in robotics, communication systems, and Metaverse technologies, offering both theoretical depth and practical design insights for next-generation cyber-physical systems.