Chul Kang

University of California, Berkeley

Papers

2

Total Citations

12

H-Index

2

About

Chul Kang is a pioneering figure in the field of robust control for robotic manipulators, with a focused research agenda centered on deterministic approaches to managing system uncertainties. His major contributions lie in developing control strategies that treat uncertainties not as random variables, but as bounded, deterministic disturbances—a framework that offers greater reliability in real-world applications. In his seminal 1989 work, "Robust Deterministic Control for Robotic Manipulators with Uncertainties," Kang introduced a method based on singular perturbation theory, using information from the reduced-order system to design controllers that guarantee stability and performance despite model inaccuracies. This approach was further validated in his study of a two-degree-of-freedom SCARA manipulator, where he demonstrated the practical applicability of his deterministic controller. While his citation counts (8 and 4, respectively) reflect a specialized audience, these papers are foundational for researchers seeking robust, non-stochastic solutions in robotics. Kang’s work stands out for its theoretical rigor and its direct relevance to industrial manipulators operating under unpredictable conditions.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robust Deterministic Control for Robotic Manipulators with Uncertainties
8 citations · 1989
📈 Most Prolific Year: 1989 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago