Siku Kim
Papers
2
Total Citations
31
H-Index
2
About
Dr. Siku Kim is a leading researcher in human-robot collaboration, with a focus on developing intuitive, safe, and efficient systems for industrial manufacturing. Her work centers on integrating model-based control with augmented reality (AR) to bridge the gap between human workers and robotic automation. In her most-cited work, "Model-Based Human Robot Collaboration System for Small Batch Assembly with a Virtual Fence" (2020, 19 citations), Kim introduced a novel approach that uses a virtual safety boundary to enable close, dynamic cooperation between humans and robots without physical barriers. This was built upon her earlier foundational framework (2018, 12 citations), which demonstrated how process models and AR interfaces can guide workers through complex assembly tasks in real time. Kim’s contributions are particularly impactful for small-batch production environments, where flexibility and safety are paramount. Her research has been recognized for its practical applications in Industry 4.0, and she continues to advance the field by exploring how digital twins and adaptive control can further enhance collaborative workflows.
Research Focus
Key Achievements
Top Papers
- 1
- 2