Papers

8

Total Citations

85

H-Index

5

About

Jongseok Won is a robotics researcher whose work spans rehabilitation robotics, humanoid design, and medical robotic systems. His key research areas include compliant actuation, gravity compensation, and the development of specialized robotic platforms for healthcare applications. Won’s most cited paper, “Low stiffness design and hysteresis compensation torque control of SEA for active exercise rehabilitation robots” (2016, 29 citations), introduces a series elastic actuator (SEA) with low stiffness and a torque control method that compensates for hysteresis, enabling safer and more effective active exercise for rehabilitation patients. He also contributed to the aesthetic and functional design of a full-sized humanoid legged robot (2014, 16 citations), which integrates torque-controlled joints for human-like, compliant motion in multi-contact scenarios. In medical robotics, Won developed a gravity compensation mechanism for robotic arms (2016, 13 citations) to reduce actuator costs, and designed a master manipulator for robotic catheter systems (2018, 11 citations) to improve minimally invasive cardiovascular procedures. His work on a rehabilitation robot for low back pain (2017, 7 citations) targets the “big 3” stabilization exercises, addressing a global health issue. With over 85 total citations across his publications, Won’s contributions demonstrate a clear focus on creating practical, compliant, and cost-effective robotic solutions for human interaction and medical intervention.

Research Focus

Key Achievements

5
H-Index
8
Papers
85
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Low stiffness design and hysteresis compensation torque control of SEA for active exercise rehabilitation robots
29 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Seoul National University, Seoul National University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago