Bum Jae You

Korea Institute of Science and Technology

Papers

16

Total Citations

144

H-Index

8

About

Bum Jae You is a robotics researcher whose work spans biologically inspired control systems, humanoid robotics, and human-robot interaction. His most significant contributions center on the application of neural oscillators to robot locomotion — a framework that draws on biological central pattern generators (CPGs) to produce adaptive, rhythmic motion in complex robotic systems. His 2009 paper on snake-like robot locomotion using adaptive neural oscillators stands as his most influential work, accumulating 33 citations, while a cluster of studies from 2008 collectively advanced the use of neural oscillators for bipedal locomotion, arm motion control, and entrainment-based rhythmic movement. These contributions helped establish biologically inspired control as a viable alternative to computationally intensive dynamic modeling approaches. You also made early methodological contributions to mobile robot kinematics, proposing an augmented generalized coordinates approach that elegantly handles multi-wheel configurations including skidding and sliding. His more recent work on weighted hybrid admittance-impedance control reflects a broadening into human-robot collaboration, addressing the nuanced challenge of physical interaction safety and user intent recognition. Across his career, You has consistently bridged biology-inspired computation with practical robotic implementation, offering valuable frameworks for researchers tackling locomotion and interactive robotics challenges.

Research Focus

Key Achievements

8
H-Index
16
Papers
144
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Locomotion of snake-like robots using adaptive neural oscillators
33 citations · 2009
📈 Most Prolific Year: 2009 (5 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Korea Institute of Science and Technology

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 · 14 days ago