Khaled T. Mohamed
Papers
3
Total Citations
39
H-Index
3
About
Khaled T. Mohamed is a leading figure in surgical micro-robotics, with a focused expertise in the dynamic modeling and control of high-precision medical manipulators. His work is foundational to the development of safer, more accurate robotic systems for minimally invasive surgery. Mohamed’s most cited paper (2018, 20 citations) presents a comprehensive framework for the dynamic analysis and optimum trajectory planning of multiple degree-of-freedom surgical micro-robots, integrating Denavit–Hartenberg kinematics with Lagrange-based dynamics to enhance operational precision. He further advanced this field with a dedicated dynamic analysis algorithm for micro-robots (2011, 13 citations), providing essential tools for predicting and controlling robotic behavior under real surgical loads. Notably, Mohamed has also tackled fundamental mechanical challenges, such as the Painlevé paradox in sliding robots (2017, 6 citations), demonstrating his ability to solve complex theoretical problems with direct application to robotic stability. Through these contributions, Mohamed has established himself as a key innovator in surgical robotics, bridging theoretical mechanics with practical, life-saving technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamic analysis algorithm for a micro-robot for surgical applications13 citations · 2011
- 3Solving Painlevé paradox: (P–R) sliding robot case6 citations · 2017