Jin-Hwan Sok
Papers
3
Total Citations
11
H-Index
2
About
Jin-Hwan Sok is a robotics researcher whose work focuses on advancing the practical deployment of humanoid robots and robotic manipulators in industrial and domestic settings. His key research areas include robust walking control, obstacle avoidance, and neural network-based control systems for uncertain environments. Sok’s most notable contribution is his 2010 paper on robust walking control for humanoid robots, which integrates path planning and obstacle avoidance architectures to enable safe navigation in factories and homes—a critical step toward real-world industrial applications. This work, with 7 citations, remains his most influential. He has also explored dexterous manipulation, developing a flexible three-fingered robot hand for unstructured environments, and robust neural network control schemes to compensate for parametric uncertainties in robot manipulators. While his citation counts are modest, Sok’s research addresses foundational challenges in making robots more autonomous, adaptive, and reliable. His work on neural network control, in particular, demonstrates an early application of machine learning to handle nonlinear dynamics in industrial robotics. For students and researchers interested in practical humanoid locomotion and adaptive control, Sok’s papers offer clear, application-driven insights into bridging theory with real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A robust walking control of humanoid robots for industrial application7 citations · 2010
- 2A flexible control of robot hand with three fingers2 citations · 2010
- 3