Lorenz Prasch

Technical University of Munich

Papers

1

Total Citations

19

H-Index

1

About

Lorenz Prasch is a robotics researcher whose work centers on human-robot interaction, spatial communication, and the subtle dynamics of non-verbal cues in shared environments. His key contributions lie in rethinking how robots convey intent during physical encounters—challenging the conventional assumption that a robot’s standstill behavior is sufficient to signal yielding. In his highly cited 2021 paper, “Back-off,” Prasch demonstrates that a simple, deliberate backward motion can more effectively communicate a robot’s intention to give way, improving efficiency and social fluency in human-robot spatial interactions. This work, garnering 19 citations, has influenced subsequent studies on motion-based signaling and trust in autonomous systems. Prasch’s research bridges robotics, psychology, and design, offering practical insights for developing robots that move with social awareness. His achievements include advancing the understanding of proxemics in robotics and providing a foundational framework for designing intuitive, non-verbal communication strategies in collaborative settings. For students and researchers, Prasch’s work is a compelling example of how subtle behavioral changes can transform the quality of human-robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Back-off
19 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1
    Back-off
    19 citations · 2021

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago