Beom-Su Kim

Kumoh National Institute of Technology

Papers

3

Total Citations

17

H-Index

2

About

Beom-Su Kim is a rising researcher at the intersection of human-robot interaction, industrial automation, and user-centered design. His work focuses on ensuring that collaborative robots and wearable exoskeletons are not only technologically advanced but also safe, intuitive, and aligned with real human needs. In his highly cited 2023 paper on quality standards for industrial collaborative robots, Kim introduced a user-centered design framework to evaluate and improve the safety and usability of robots working alongside humans—a critical step as these systems become more common in factories. His 2023 study on machine learning for exoskeletons broke new ground by using lower-limb movement recognition to enable proactive, predictive assistance during lifting tasks, directly addressing the slow commercialization of assistive robotics. With over 17 combined citations across his most influential works, Kim is gaining recognition for bridging the gap between technical innovation and practical application. His 2025 work on prioritizing Quality of Experience (QoE) features further demonstrates his commitment to dynamic, user-driven design. For students and researchers, Kim’s research offers a compelling model of how to build robots that truly work for people.

Research Focus

Key Achievements

2
H-Index
3
Papers
17
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of quality standards for industrial collaborative robots based on user‐centered design framework
10 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Kumoh National Institute of Technology

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago