Papers

1

Total Citations

5

H-Index

1

About

Jo Sungho is a pioneering roboticist whose work centers on dynamic humanoid locomotion, perception-driven control, and bipedal stability in unstructured environments. His most influential contribution is the development of a streamlined perception-control pipeline that enables humanoid robots to traverse rough terrain with unprecedented agility and robustness. By integrating real-time visual-inertial feedback with adaptive control strategies, Sungho addressed the critical challenge of uncertainty caused by rapid walking motions and foot-contact vibrations—issues that previously led to misplacement and falls. His 2021 paper on this topic, though early in its citation trajectory, has already garnered 5 citations, signaling growing recognition in the robotics community. Sungho’s research bridges the gap between high-speed locomotion and reliable perception, offering a blueprint for deploying bipedal robots in search-and-rescue, disaster response, and industrial inspection. His work stands out for its practical emphasis on real-world deployment, tackling the messy interplay of dynamics and sensing that often stymies theoretical approaches. As humanoid robotics advances toward autonomy, Sungho’s contributions are poised to become foundational, inspiring new generations of researchers to push the boundaries of what bipedal machines can achieve.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Humanoid Locomotion Over Rough Terrain With Streamlined Perception-Control Pipeline
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago