About

Mohamed Sallam is a robotics researcher whose work centers on the intersection of precision control, agricultural automation, and AI-assisted surgery. His most impactful contribution, "Exploring New Horizons: Surgical Robots Supported by Artificial Intelligence" (2023, 11 citations), pioneers the integration of AI with robotic systems to enhance surgical precision and efficiency. Sallam has also made significant strides in agricultural robotics, developing a compact strawberry harvesting tube that uses a laser cutter for gentle, efficient produce collection (2022, 8 citations). His expertise in control systems is evident through multiple papers on optimal PID and NPID controllers for master-slave teleoperation and pantograph mechanisms, addressing critical challenges like time delay in surgical and underwater applications. With a total of over 50 citations across his top papers, Sallam’s work demonstrates a clear trajectory from foundational control theory to applied, high-impact solutions in surgery and farming. His research not only advances robotic capabilities but also offers practical tools for real-world challenges, making him a notable figure in modern robotics and automation.

Research Focus

Key Achievements

5
H-Index
9
Papers
51
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Exploring New Horizons: Surgical Robots Supported by Artificial Intelligence
11 citations · 2023
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: South Ural State University, Helwan University, Cairo University, Egypt-Japan University of Science and Technology, Heliopolis University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago