Mohammed Abdel-Nasser
Assiut University, King Fahd University of Petroleum and Minerals, Aswan University
Papers
5
Total Citations
23
H-Index
3
About
Dr. Mohammed Abdel-Nasser is a robotics researcher advancing surgical precision, autonomous swarm intelligence, and mobile robot perception. His most cited work introduces a novel hybrid continuum surgical robot that combines concentric tube and tendon-driven mechanisms for minimally invasive surgery, addressing key limitations in dexterity and control (12 citations). He has also developed a decentralized potential field-based control framework enabling fully autonomous ground robot swarms to achieve trajectory tracking, formation control, and obstacle avoidance using only local sensing—a significant step toward robust multi-domain industrial mapping and asset monitoring. To tackle the challenges of indoor scene recognition under variable lighting and motion blur, Dr. Abdel-Nasser created a reliable deep learning and neuro-fuzzy inference approach optimized for resource-constrained mobile robots. Additionally, he has applied artificial neural networks to solve the inverse kinematics problem for 3R manipulators, reducing computational complexity and avoiding singularities. His work spans surgical robotics, swarm coordination, and intelligent perception, demonstrating both theoretical depth and practical impact in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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