Michal Reinstein

PATH To Reading

Papers

1

Total Citations

21

H-Index

1

About

Michal Reinstein is a leading researcher in human-robot interaction and autonomous systems, with a particular focus on human-robot teaming for critical applications like Urban Search & Rescue (USAR). His most cited work, "Experience in system design for human-robot teaming in urban search & rescue," details a user-centric design methodology for developing systems where multiple robots—including rovers (UGVs) and microcopters (UAVs)—collaborate with human operators at an off-site command post. This paper, with 21 citations, exemplifies his core contribution: bridging the gap between autonomous robotic capabilities and practical, real-world human oversight. Reinstein's research is instrumental in defining how mission commanders and UGV operators can effectively manage heterogeneous robot teams in high-stakes, time-sensitive environments. By prioritizing human factors and iterative design, his work directly impacts the safety and efficiency of disaster response operations. His achievements highlight a commitment to translating complex robotic systems into deployable tools that augment, rather than replace, human decision-making, making him a pivotal figure in the advancement of field robotics and human-autonomy collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Experience in system design for human-robot teaming in urban search & rescue
21 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: PATH To Reading

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago