Sejeong Kim

University of Melbourne, Chonnam National University

Papers

Total Citations

H-Index

About

Sejeong Kim’s research sits at the dynamic intersection of robotics, automation, and human-machine collaboration, with a clear focus on translating cutting-edge technology into real-world impact. Her most influential work, a techno-economic study of Industry 5.0 enterprise deployments (21 citations), provides a critical framework for understanding how human-to-machine communications can drive productivity and efficiency in the post-pandemic era, shaping the future of smart manufacturing. Kim is also pioneering the application of cable-driven parallel robots (CDPRs) for high-stakes logistics and medical procedures. Her work on a CDPR for high-rack logistics automation (15 citations) addresses the pressing need for flexible, cost-effective solutions in modern warehouses. Most notably, her latest contribution (2025) introduces a novel CDPR-assisted needle insertion method for X-ray guided interventional pain procedures, achieving compatibility with medical imaging while enhancing precision and safety. This work marks a significant step toward remote, robot-assisted surgery. With a growing portfolio that bridges industrial automation and healthcare, Kim is establishing herself as a forward-thinking engineer whose work promises to redefine how humans and robots collaborate in both factories and operating rooms.