Edonis Elshani

Technical University of Munich

Papers

1

Total Citations

4

H-Index

1

About

Edonis Elshani is a researcher at the forefront of physical human-robot interaction (pHRI) safety, with a focused expertise in biomechanical injury protection and collision data analysis. Their major contribution lies in pioneering the development of unconstrained collision injury protection data sets, specifically through initial surrogate experiments targeting the human hand—a critical yet underexplored area in robotics safety. This work addresses a fundamental gap in current industrial robot standards, which primarily provide safety constraints for blunt impacts to prevent the onset of pain but fail to adequately account for edged or pointed contact scenarios. By generating empirical data from surrogate experiments, Elshani’s research lays the groundwork for more comprehensive safety protocols that can protect against a wider range of injury types. With 4 citations on their seminal 2024 paper, their work is already gaining traction among researchers seeking to enhance human-robot coexistence. Elshani’s contributions are particularly notable for pushing beyond existing standardization limits, offering a pathway to safer, more versatile collaborative robots in manufacturing, healthcare, and domestic settings. Their dedication to bridging the gap between theoretical safety thresholds and real-world injury mechanics marks them as an emerging leader in pHRI safety research.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Towards Unconstrained Collision Injury Protection Data Sets: Initial Surrogate Experiments for the Human Hand
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago