Saeed Abdallah
Papers
1
Total Citations
13
H-Index
1
About
Dr. Saeed Abdallah is a researcher specializing in energy-efficient autonomous navigation and path planning for unmanned vehicles operating in complex outdoor environments. His primary contributions lie in developing novel composite routing metrics that integrate terrain characteristics—such as slope, gravity, and wheel-terrain friction—with traditional shortest-path algorithms to minimize energy consumption for autonomous unmanned vehicles (AUVs) and mobile robots. His most cited work, "Energy-Efficient Shortest Path Planning on Uneven Terrains: A Composite Routing Metric Approach" (2019, 13 citations), introduces a framework that balances travel distance with the physical cost of traversing uneven terrain, significantly improving operational efficiency for field robotics. This research has practical implications for agricultural, search-and-rescue, and military autonomous systems operating in natural landscapes. Dr. Abdallah’s work bridges the gap between theoretical optimization and real-world energy constraints, offering a scalable solution for extending mission duration and reducing power demands. His approach to integrating environmental physics with path planning algorithms represents a notable achievement in sustainable robotics, providing a foundation for future work in energy-aware autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1