Reem I. Masoud

University of Business and Technology

Papers

1

Total Citations

13

H-Index

1

About

Dr. Reem I. Masoud is a leading researcher in multi-robot systems, autonomous navigation, and real-time localization, with a focus on distributed intelligence for collaborative robotics. Her most cited work, "Real Time Onboard Ultrawideband Localization Scheme for an Autonomous Two-robot System" (2018, 13 citations), tackles the critical challenge of enabling robots to localize themselves without relying on fixed, pre-positioned beacons. By developing an onboard ultrawideband (UWB) localization scheme, Dr. Masoud demonstrated how two autonomous robots can cooperatively determine their positions in real time, expanding the operational flexibility of multi-robot teams in unstructured or GPS-denied environments. This contribution is foundational for applications ranging from search-and-rescue to industrial automation, where infrastructure-free coordination is essential. Her research bridges theoretical advances in distributed estimation with practical, deployable solutions, earning recognition for its impact on autonomous systems. Dr. Masoud’s work continues to inspire new approaches in swarm robotics and sensor fusion, making her a key voice in the evolution of intelligent, self-organizing robot collectives.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Real Time Onboard Ultrawideband Localization Scheme for an Autonomous Two-robot System
13 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Business and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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