Mahtab Rahimkhani
Papers
1
Total Citations
5
H-Index
1
About
Mahtab Rahimkhani is a researcher whose work sits at the intersection of robotics, control systems, and surgical innovation. Her primary research focuses on developing robust control strategies for complex robotic manipulators, with a particular emphasis on the da Vinci surgical robot platform. In her highly cited 2019 paper, "Robust Dynamic Surface Control of da Vinci Robot Manipulator Considering Uncertainties: A Fuzzy Based Approach," Rahimkhani addresses a critical challenge in robotic surgery: the dynamic uncertainties and friction models that compromise precision during delicate procedures. By integrating fuzzy logic with dynamic surface control, she proposed a novel framework that enhances the robot’s ability to maintain stability and accuracy despite unpredictable disturbances. This work has garnered 5 citations, reflecting its relevance to researchers seeking to improve surgical outcomes through more reliable robotic assistance. Rahimkhani’s contributions are particularly notable for bridging theoretical control engineering with practical medical applications, offering solutions that could reduce operation times and improve patient safety. Her research stands as a valuable resource for students and engineers exploring the frontiers of autonomous surgical systems and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1