Yangcan Zhou

Technical University of Munich

Papers

1

Total Citations

5

H-Index

1

About

Yangcan Zhou is a researcher advancing the safety of physical human-robot interaction (pHRI), with a particular focus on mitigating risks from edged or pointed objects—a critical yet underexplored area in robotics. Their major contribution is the development of a surrogate study that assembles a comprehensive human hand injury protection database, addressing the gap in understanding harm severity from non-blunt impactors. This work, published in 2024 and already garnering 5 citations, provides foundational data for designing safer robotic systems that handle tools or objects with sharp features. By systematically characterizing injury thresholds, Zhou’s research enables engineers to implement more robust safety protocols and design robots capable of safer interaction in domestic, industrial, and medical settings. Their efforts are pivotal in pushing pHRI beyond blunt-force considerations, directly impacting standards for collaborative robots. Zhou’s work stands out for its practical relevance, offering a data-driven pathway to reduce injury risks in real-world applications. This pioneering study marks Zhou as a rising contributor to human-robot safety, with implications for future regulatory frameworks and robot design guidelines.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Towards Safe Robot Use with Edged or Pointed Objects: A Surrogate Study Assembling a Human Hand Injury Protection Database
5 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 · 10 days ago