Jaesung Kwon

Kwangwoon University

Papers

2

Total Citations

23

H-Index

2

About

Jaesung Kwon’s research lies at the intersection of wearable exoskeleton design, biologically inspired robotics, and adaptive control systems. His most notable contribution is the development of a 4-bar mechanism-based knee assist robotic exoskeleton that leverages singular configurations to enhance industrial workforce support—a response to the pressing needs of an aging society. This work, cited 21 times, demonstrates his focus on practical, task-oriented solutions for human augmentation. Kwon also explores biologically inspired control schemes, drawing from neural oscillator networks observed in human and animal locomotion to create robotic systems that adapt to unexpected disturbances. His 2015 paper on priority-condition-based parameter tuning, while less cited, underscores his commitment to bridging biological principles with robotic applications. Through these contributions, Kwon advances the field of assistive robotics by combining mechanical innovation with adaptive control, offering tangible pathways for safer, more efficient human-robot collaboration in industrial and rehabilitation settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A 4-bar mechanism based for knee assist robotic exoskeleton using singular configuration
21 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Kwangwoon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago