Papers

10

Total Citations

149

H-Index

6

About

Byung-Jin Jung is a robotics researcher whose work spans human-robot safety, autonomous systems, and assistive technologies. His primary research areas include collision detection for industrial manipulators, joint torque sensing, and robotic meal assistance. Jung made a significant contribution to safe human-robot interaction by developing collision detection methods that use frequency boundary analysis and Disturbance Observers, enabling robots to distinguish between intended contact and accidental collisions—a critical step for collaborative workspaces. His most cited work, "Joint Torque Sensor Embedded in Harmonic Drive Using Order Tracking Method" (49 citations), introduced a low-cost torque measurement technique by measuring strain in the harmonic drive’s flexspline, offering an economical solution for robotic applications. Jung also advanced autonomous street sweeping with a curbside-cleaning robot (25 citations) and developed a meal-assistance robot for Asian food that uses face recognition to estimate food acquisition points. His research has practical implications for manufacturing safety, urban maintenance, and eldercare, with over 140 total citations demonstrating its impact on the field.

Research Focus

Key Achievements

6
H-Index
10
Papers
149
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Joint Torque Sensor Embedded in Harmonic Drive Using Order Tracking Method for Robotic Application
49 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Sungkyunkwan University, Korea Electronics Technology Institute

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago