Papers

2

Total Citations

237

H-Index

2

About

Dong Hyeon Roh is a leading researcher at the intersection of robotics, extended reality (XR), and artificial intelligence, with a primary focus on safety-aware human-robot collaboration (HRC). His most influential work, an integrated mixed reality system published in 2021, has garnered over 226 citations for its pioneering use of deep learning and digital twin generation to prevent accidents in shared workspaces. Roh’s approach fundamentally reimagines industrial safety by calculating real-time minimum distances between human operators and robots, leveraging multiple sensors and XR interfaces to create a dynamic, immersive safety net. His 2022 study further advances this framework, demonstrating how extended reality can transform collision avoidance from reactive to proactive. By merging digital twins with real-time sensor data, Roh enables robots to anticipate human movements, reducing risk without sacrificing productivity. His contributions are critical for the future of manufacturing and collaborative robotics, offering a scalable blueprint for safe, efficient human-robot teams. With a growing citation impact, Roh’s work is shaping next-generation safety standards and inspiring new research in human-aware automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
237
Total Citations
119
Avg Citations/Paper
🏆 Most Cited Paper
An integrated mixed reality system for safety-aware human-robot collaboration using deep learning and digital twin generation
226 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Chonnam National University, Chonnam National University Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago