Papers

2

Total Citations

32

H-Index

2

About

Fabien Grzeskowiak is a researcher at the forefront of human-robot interaction, specializing in the safe and effective navigation of robots through crowded human environments. His work centers on developing rigorous evaluation methods for autonomous navigation, addressing the critical challenge of deploying robots in public spaces. Grzeskowiak’s major contributions include pioneering simulation-based benchmark tools, such as the one introduced in his highly cited paper "Crowd against the machine" (20 citations), which provides a standardized framework to assess and compare robot capabilities in navigating human crowds. He has also advanced the field by exploring Virtual Reality (VR) as a novel, safe platform for studying human-robot interactions during navigation, as detailed in his work "Toward Virtual Reality-based Evaluation of Robot Navigation among People" (12 citations). This approach allows for realistic, risk-free experimentation by immersing both users and robots in shared virtual spaces. Through these innovative contributions, Grzeskowiak is laying the groundwork for more reliable and socially-aware robots, directly impacting the future of autonomous systems in our daily lives.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd
20 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Institut de Recherche en Informatique et Systèmes Aléatoires, Centre Inria de l'Université de Rennes

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago