Yongbae Ji

Hanyang University

Papers

1

Total Citations

19

H-Index

1

About

Yongbae Ji is a leading researcher in robotic manipulation and medical robotics, with a focus on non-contact diagnostic systems and digital twin technologies. His most-cited work, "Robotic Manipulation System Design and Control for Non-Contact Remote Diagnosis in Otolaryngology: Digital Twin Approach" (2023, 19 citations), addresses critical challenges amplified by the COVID-19 pandemic—namely, reducing healthcare workers' infection risk and emotional strain through remote, robot-assisted diagnosis. Ji’s major contribution lies in integrating digital twin frameworks with precise robotic control to enable safe, contact-free medical examinations, particularly in otolaryngology. This innovation not only enhances infection prevention but also alleviates workload in high-stress clinical environments. Beyond this flagship study, Ji’s broader research spans manipulation system design, teleoperation, and human-robot interaction, with applications in minimally invasive procedures and remote healthcare. His work has garnered attention for its practical impact on pandemic-era medicine and its potential to reshape outpatient diagnostics. Ji’s achievements include advancing the synergy between robotics and digital twins, offering a scalable model for future non-contact medical systems. For students and researchers, his research exemplifies how engineering innovation directly addresses real-world healthcare crises, blending technical rigor with societal benefit.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Manipulation System Design and Control for Non-Contact Remote Diagnosis in Otolaryngology: Digital Twin Approach
19 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Hanyang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago