Donghyeon Seo

Kyung Hee University

Papers

3

Total Citations

24

H-Index

3

About

Donghyeon Seo is a robotics researcher focused on humanoid locomotion and personal carrier robot safety. His work centers on two key areas: push recovery control for humanoid robots and the development of safe, user-friendly personal carrier robots. Seo's most notable contribution is a push recovery controller for humanoid robots that leverages reinforcement learning, integrating an IMU sensor with high- and low-level control layers to maintain stability against external perturbations—a critical challenge for structurally unstable humanoid platforms. This work has garnered 15 citations, reflecting its relevance in humanoid robotics. He also designed a four-wheeled person carrier robot system, creating a test platform that measures user impacts and position changes across varied terrains, using a wheelchair-based chassis with Bluetooth control (6 citations). Further, Seo contributed to safety standards by evaluating personal carrier robots against ISO 13482 criteria, employing a Stewart platform with a dynamic dummy to simulate real-world conditions (3 citations). His research bridges the gap between theoretical control strategies and practical, safe robotic systems for human interaction, advancing both humanoid stability and personal mobility solutions.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Push Recovery Control for Humanoid Robot Using Reinforcement Learning
15 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Kyung Hee University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago