Stina Klein

University of Augsburg

Papers

2

Total Citations

5

H-Index

2

About

Stina Klein is a rising researcher at the intersection of human-robot interaction and industrial automation, with key contributions in cobot failure management and robot personalization. Her work addresses critical challenges in collaborative robotics: how to make robots more trustworthy when things go wrong, and how to make them more likable through personalization. In her highly cited 2024 paper, Klein developed a framework for user-friendly cobot failure management in human-robot collaboration, showing that effective failure communication and recovery are essential for restoring operator trust and improving system performance—a vital insight as cobots become common in industrial settings. Her 2025 study broke new ground by demonstrating that cloning a user’s voice onto an android robot significantly enhances likability compared to design-congruent or dissimilar voices. This work opens exciting possibilities for personalized human-robot relationships. Though early in her career, Klein’s research has already garnered attention (3 and 2 citations respectively) for its practical, user-centered approach to making robots more intuitive and socially acceptable. Her work promises to shape how we design robots that not only work alongside us, but truly connect with us.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Creating a Framework for a User-Friendly Cobot Failure Management in Human-Robot Collaboration
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Augsburg

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago