Papers

2

Total Citations

15

H-Index

2

About

Younseal Eum is a pioneering researcher in humanoid robotics, with a specialized focus on enabling robots to perform complex, dynamic athletic maneuvers—specifically, giant slalom skiing on real-world slopes. His work bridges the gap between robotic locomotion and high-performance sports, addressing fundamental challenges in balance, reaction speed, and autonomous control under unstructured, high-speed conditions. Eum’s major contributions include developing the first effective carved turn control system for a humanoid robot on actual ski slopes, integrating gate vision recognition to allow autonomous navigation through a giant slalom course. His 2022 paper on this topic, which has garnered 11 citations, demonstrates a significant leap in robotic agility and environmental perception. Earlier foundational work from 2018, with 4 citations, established the core principles for executing carved turns—a technique requiring precise weight shifting and edge control—on a real-world slope. By participating in robot sports competitions, including those inspired by the Pyeongchang Winter Olympics, Eum has shown that athletic challenges are a powerful testbed for advancing humanoid robot capabilities. His research not only pushes the boundaries of what robots can achieve physically but also provides a compelling framework for improving robotic performance in dynamic, real-world environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Carved Turn Control with Gate Vision Recognition of a Humanoid Robot for Giant Slalom Skiing on Ski Slopes
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Hanyang University, Seoul National University of Education

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago