Papers

3

Total Citations

186

H-Index

3

About

Quirin Tyroller is a leading researcher in human-robot collaboration, with a focus on making industrial robotics safer, smarter, and more adaptive. His key research areas include human-aware motion planning, mobile robotics for dynamic environments, and cognitive interaction frameworks for assembly tasks. Tyroller’s most influential work, “Human-Aware Robotic Assistant for Collaborative Assembly” (2018, 149 citations), tackles the critical challenge of integrating human motion prediction with robot planning, enabling robots to operate safely alongside humans without requiring complete shutdowns in shared spaces. This contribution has significantly advanced the efficiency and fluidity of human-robot work cells. He also pioneered the first mobile robot system capable of operating on moving-floor automotive final assembly lines, a breakthrough detailed in his 2018 paper (30 citations), which addresses the unique constraints of real-world manufacturing. More recently, Tyroller proposed a cognitive interaction planning framework using Dynamic Field Theory (2021, 7 citations), offering a novel approach to modeling embodied cognition in assembly processes. His work bridges the gap between theoretical robotics and practical deployment, earning recognition for its direct impact on industrial automation and collaborative safety.

Research Focus

Key Achievements

3
H-Index
3
Papers
186
Total Citations
62
Avg Citations/Paper
🏆 Most Cited Paper
Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time
149 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Karlsruhe Institute of Technology, BMW Group (Germany), BMW (Germany)

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago