Papers

8

Total Citations

73

H-Index

5

About

Shuaiby Mohamed is a robotics researcher whose work spans mobile robot design, motion planning, energy optimization, and rehabilitation engineering. His most influential contribution, "Coverage Path Planning for Mobile Robots Using Genetic Algorithm with Energy Optimization" (2016, 40 citations), introduced an innovative grid-based approach to CPP that remains widely referenced in the field, establishing him as a notable voice in autonomous robot navigation. A consistent thread throughout his research is energy efficiency in mobile robotic systems — reflected in his series of studies on redundant wheeled drive systems, which explore both mechanical design and sliding mode robust control strategies to maximize operational endurance and ensure fail-safe motion. Mohamed's work has progressively expanded in mechanical complexity, from wheeled platforms to sophisticated legged systems, including a novel hexapod robot with telescopic legs and a quadruped hybrid wheel-legged robot, demonstrating his versatility across locomotion paradigms. More recently, he has extended his expertise into biomedical applications, contributing to the design of shape memory alloy actuators for finger rehabilitation. Collectively, his portfolio reflects a researcher committed to bridging theoretical robotics with practical, real-world mechanical solutions, accumulating over 70 citations across diverse robotic platforms and control methodologies.

Research Focus

Key Achievements

5
H-Index
8
Papers
73
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Coverage path planning for mobile robots using genetic algorithm with energy optimization
40 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Toyohashi University of Technology, Hanbat National University, Assiut University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago