Mohammed Abugurain

King Abdullah University of Science and Technology

Papers

1

Total Citations

5

H-Index

1

About

Mohammed Abugurain is a rising researcher in the fields of multirobot systems, distributed sensor networks, and autonomous target tracking. His work focuses on enabling heterogeneous teams of mobile robots to cooperatively search for and track multiple targets in complex, extended environments, even when sensors have limited range and communication constraints. His most-cited paper, "Distributed Multirobot Multitarget Tracking Using Heterogeneous Limited-Range Sensors" (2025, 5 citations), introduces a novel cooperative framework that leverages the unique capabilities of different sensor types to improve adaptability, reliability, and overall tracking efficiency. This contribution addresses a critical challenge in real-world robotics—how to coordinate diverse agents with varying sensing abilities to achieve a common goal without centralized control. By advancing the theory and practice of distributed active sensing, Abugurain’s work has immediate implications for applications such as search-and-rescue, environmental monitoring, and surveillance. Though early in his career, his research demonstrates a strong potential to shape the next generation of scalable, resilient multirobot systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Distributed Multirobot Multitarget Tracking Using Heterogeneous Limited-Range Sensors
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: King Abdullah University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago