Heonseop Shin

Kyung Hee University

Papers

8

Total Citations

84

H-Index

7

About

Heonseop Shin is a leading researcher in collaborative robotics, with a primary focus on human-robot physical interaction and safety. His work addresses the critical challenge of ensuring human safety when robots and humans share workspaces, particularly during inevitable collisions. Shin’s major contributions include developing methods to control robot velocity based on real-time human-robot distance, as well as creating virtual pressure and force sensors for safety evaluation. His 2022 study on pain onset and maximum bearable pain thresholds in physical contact situations (16 citations) provides foundational data for setting safety limits. His 2018 paper on allowable maximum safe velocity control (15 citations) and his 2019 work on real-time collision safety evaluation (14 citations) have been highly influential in the field. Shin also contributed to the kinematic modeling of modular robots and the analysis of how impactor shape affects collision safety. His research directly supports the implementation of international safety standards like ISO/TS 15066, making him a key figure in advancing safe, practical collaborative robotics for industrial and everyday applications.

Research Focus

Key Achievements

7
H-Index
8
Papers
84
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations
16 citations · 2022
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Kyung Hee University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago