About

Mohamed Abdellatif is a robotics and mechatronics researcher whose work spans autonomous systems, mobile robotics, and intelligent infrastructure inspection. Over more than a decade, he has made significant contributions to the design and implementation of practical robotic solutions for real-world challenges, ranging from construction automation to industrial logistics. His most-cited work, the development of a roller-based interior wall painting robot (2011, 33 citations), demonstrated early innovation in construction robotics, combining autonomous navigation with task-specific end-effector design. This trajectory continued with his mechatronics design of an autonomous pipe-inspection robot (2018, 16 citations) and a Kinect-guided autonomous forklift (2018, 11 citations), reflecting a consistent focus on replacing hazardous or labor-intensive human tasks with intelligent machines. Abdellatif has also advanced the theoretical foundations of robotic exploration, introducing improved backtracking algorithms for sensor-based mapping (2013, 10 citations) and a novel heuristic exploration algorithm with complexity metrics (2015, 13 citations). His broader vision is evident in a position paper on robotic road asset management (2019, 20 citations), advocating for autonomous systems in aging urban infrastructure. With contributions spanning service robotics, visual SLAM, and face detection, his body of work reflects a versatile and applied approach to autonomous systems research.

Research Focus

Key Achievements

7
H-Index
18
Papers
149
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Development Of Roller-Based Interior Wall Painting Robot
33 citations · 2011
📈 Most Prolific Year: 2013 (5 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: University of Leeds, Future University in Egypt, Egypt-Japan University of Science and Technology, Qatar University, Ain Shams University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago