Papers

17

Total Citations

322

H-Index

10

About

Ohung Kwon is a prominent robotics researcher whose career has centered on the locomotion, control, and optimization of legged robotic systems, with particular expertise in both biped and quadruped robots. His foundational contributions include pioneering work on reflex-based control strategies that enable biped robots to navigate slippery and unpredictable surfaces — his most-cited paper on this topic has accumulated 60 citations and addressed a critical safety challenge in real-world robot deployment. Kwon has made significant advances in gait optimization by drawing on human motion analysis, and he developed genetic algorithm-based approaches to generate energy-efficient trajectories for staircase navigation. His research on gait transitions between walking and running, alongside impedance control frameworks for dynamic locomotion, has helped define the field's understanding of stable, versatile biped movement. Extending his work to quadruped systems, Kwon tackled challenges in uneven terrain navigation and hydraulic energy efficiency, proposing elliptic trajectory generation for galloping robots. Collectively, his publications have amassed over 270 citations, reflecting sustained influence across legged robotics, motion planning, and biomechanically inspired control — making his body of work essential reading for researchers advancing autonomous mobile robotics.

Research Focus

Key Achievements

10
H-Index
17
Papers
322
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Reflex control of biped robot locomotion on a slippery surface
60 citations · 2002
📈 Most Prolific Year: 2006 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Hanyang University, Korea Institute of Industrial Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago