Papers
16
Total Citations
584
H-Index
12
About
Keehong Seo is a leading researcher in the field of robotic exoskeletons and human locomotion, whose work bridges the gap between assistive robotics and human physiology. His primary research areas include wearable hip-assist robots, gait rehabilitation, bipedal locomotion control, and human-robot interaction. Seo’s most impactful contributions demonstrate how robotic systems can improve mobility and metabolic efficiency in elderly adults and stroke patients. His 2017 study on a wearable hip assist robot (117 citations) showed significant improvements in gait function and cardiopulmonary efficiency among elderly adults, while his 2019 work on delayed output feedback control (114 citations) introduced a novel, estimator-free control strategy for hip exoskeletons. Another highly cited 2019 paper (114 citations) demonstrated the effectiveness of gait training with a wearable hip-assist robot in chronic stroke patients, highlighting tangible rehabilitation outcomes. Seo has also made notable contributions to humanoid robotics, including the development of Roboray’s lower limbs and force-based balancing control frameworks. His recent work on real-time gait parameter estimation using IMU sensors embedded in exoskeletons (2023) continues to advance practical, real-world applications of wearable robotics. Through these innovations, Seo has established himself as a key figure in creating robotic systems that enhance human mobility and recovery.
Research Focus
Key Achievements
Top Papers
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- 5Deep Active Localization40 citations · 2019
- 6Development of the lower limbs for a humanoid robot32 citations · 2012
- 7Models for Global Synchronization in CPG-based Locomotion26 citations · 2007
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- 9Balancing control of a biped robot16 citations · 2012
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