Donghyeon Seo
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
Top Papers
- 1Push Recovery Control for Humanoid Robot Using Reinforcement Learning15 citations · 2019
- 2The Designed of Four-Wheeled Person Carrier Robot System6 citations · 2018
- 3