Mohamed El‐Gamel
Papers
1
Total Citations
10
H-Index
1
About
Mohamed El‐Gamel is a researcher whose work lies at the intersection of robotics, autonomous navigation, and environmental perception. His key contributions center on developing systems that enable robots to understand and move through their surroundings, with a particular focus on topological mapping and door detection—a critical component for creating reliable spatial models. His most cited paper, "SEDLRF: A New Door Detection System for Topological Maps" (2006), has garnered 10 citations and addresses the growing demand for service robotics by tackling the foundational challenge of robot navigation. This work reflects his broader interest in making autonomous systems more practical for real-world applications, from industrial tasks to domestic assistance. While his citation count is modest, El‐Gamel’s research is notable for its targeted approach to a specific, high-impact problem: enabling robots to identify and use doorways as landmarks for building topological maps. His work contributes to the ongoing effort to bridge the gap between laboratory prototypes and deployable robotic solutions, a pursuit that remains central to the field of service robotics.
Research Focus
Key Achievements
Top Papers
- 1SEDLRF: A New Door Detection System for Topological Maps10 citations · 2006