Kyung Sook Kim
Papers
2
Total Citations
40
H-Index
2
About
Kyung Sook Kim is a leading researcher in human-robot interaction safety, with a focus on quantifying and mitigating injury risks during physical human-robot collisions. Her work centers on establishing empirical safety thresholds for collaborative robots, particularly through biomechanical analysis of pressure pain and skin injury mechanisms. Kim’s most influential paper, “Assessment of pressure pain thresholds in collisions with collaborative robots” (2019, 33 citations), provides critical data for designing safer robotic systems by measuring human tolerance to impact forces. Her subsequent study, “Identifying Safety Conditions of Human-Robot Collision based on Skin Injury Analysis” (2018, 7 citations), further refines these parameters by analyzing tissue damage under varying collision scenarios. Together, these contributions address a pressing gap in industrial safety standards, offering evidence-based guidelines for human-robot collaboration. Kim’s research is pivotal for advancing the safe integration of robots into shared workspaces, directly informing the development of compliant, injury-preventive robotic designs. Her work has been instrumental in shaping emerging safety protocols, making her a key figure in the transition toward more collaborative and human-aware industrial automation.
Research Focus
Key Achievements
Top Papers
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