Saif Allah M. Abgenah

Papers

1

Total Citations

7

H-Index

1

About

Saif Allah M. Abgenah is a researcher focused on advancing autonomous multi-robot systems, with a primary emphasis on path planning and navigation algorithms. His most-cited work, "Multi-Robot Path Planning using Dijkstra’s Algorithm with Multi-layer Dictionaries" (2021, 7 citations), addresses a critical challenge in robotics: extending classical single-robot path planning methods to complex multi-robot environments. Abgenah’s key contribution lies in developing a novel approach that integrates Dijkstra’s algorithm with multi-layer dictionaries, enabling efficient coordination and collision-free navigation for multiple autonomous robots. This work is particularly significant because it bridges the gap between foundational algorithms and the practical demands of multi-agent systems, where traditional methods often fall short. By tackling the increased complexity of multi-robot path planning, Abgenah’s research has direct implications for applications in warehouse automation, search-and-rescue missions, and autonomous vehicle fleets. His work demonstrates a clear understanding of both theoretical foundations and real-world implementation challenges, making it a valuable resource for students and researchers exploring scalable solutions in robotics. With growing interest in multi-robot coordination, Abgenah’s contributions are poised to influence future developments in autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Robot Path Planning using Dijkstra’s Algorithm with Multi-layer Dictionaries
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago