Sung Ju Cho

Carnegie Mellon University

Papers

2

Total Citations

15

H-Index

2

About

Sung Ju Cho is a pioneering researcher in humanoid robotics, with a focus on hydraulic actuation systems and dynamic balance control. His work addresses fundamental challenges in bipedal locomotion, particularly in achieving robust joint position control and maintaining stability during walking. In his 2007 paper, Cho introduced an online gain switching algorithm for joint position control of a hydraulic humanoid robot, a critical contribution for enabling precise lower-body movements essential for balance and gait. This work, cited 8 times, laid groundwork for more adaptive control strategies. His 2008 study tackled the complex problem of posture control in the coronal plane during walking, proposing innovative ankle torque and foot placement methods that use phase plane analysis to stabilize the pelvis. With 7 citations, this research highlights Cho’s ability to translate dynamic system theory into practical robotic control. Though his citation counts are modest, Cho’s contributions are notable for their focus on real-time, hardware-aware solutions—a key challenge in humanoid robotics. His work remains relevant for researchers developing hydraulic humanoids and advancing whole-body control for legged robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Online gain switching algorithm for joint position control of a hydraulic humanoid robot
8 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago