Mohammed Elmogy

Universität Hamburg, Mansoura University

Papers

10

Total Citations

72

H-Index

5

About

Mohammed Elmogy is a leading researcher in autonomous robotics, with a particular focus on humanoid robot navigation and human-robot interaction. His work addresses critical challenges in enabling robots to perceive, understand, and move through complex environments. A key contribution is his development of robust, real-time landmark recognition systems, which allow humanoid robots to identify and localize themselves using visual cues—a foundational capability for autonomous navigation. He has also pioneered the use of spatial language and cognitive interfaces, enabling robots to interpret formal route instructions and interact more naturally with humans. In the domain of safety and humanitarian technology, Elmogy contributed a highly cited survey on landmine detection using autonomous robots, highlighting the potential for robotics to address life-threatening hazards. His research further extends to motion planning for bipedal robots like HOAP-2, where he developed hybrid algorithms for efficient, obstacle-aware navigation. With over 70 citations across his most influential works, Elmogy’s interdisciplinary approach—merging computer vision, cognitive science, and mechanical control—has significantly advanced the field of intelligent, socially-aware robotics.

Research Focus

Key Achievements

5
H-Index
10
Papers
72
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Landmines Detection Using Autonomous Robots: A Survey
16 citations · 2014
📈 Most Prolific Year: 2009 (4 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Universität Hamburg, Mansoura University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago