Papers
5
Total Citations
71
H-Index
4
About
Dr. Sohair F. Rezeka is a distinguished researcher whose work bridges the critical intersection of robotics, control systems, and medical technology. Her primary research areas encompass surgical robotics, adaptive control systems, and intelligent automation for industrial and mobile applications. Dr. Rezeka’s most impactful contribution is her comprehensive review on robotics in laparoscopic surgery (2022, 31 citations), which has become a key reference for understanding how robotic technologies overcome the ergonomic and precision challenges of minimally invasive procedures. She has also made significant advances in adaptive control, notably developing an adaptive PID controller for stepper motors driving flexible rotors (2011, 28 citations), a solution that enhances positioning accuracy in robotics and CNC machinery. Her work extends to supervisory position control for wheeled mobile robots and the design of a 5-DOF color sorting manipulator for industrial automation, demonstrating her versatility in applying control theory to real-world systems. Additionally, Dr. Rezeka has explored neural-network-based solutions for robotic inverse kinematics, further showcasing her commitment to intelligent automation. With a career dedicated to advancing robotic precision and adaptability, her research continues to influence both surgical practice and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Robotics in laparoscopic surgery - A review31 citations · 2022
- 2Adaptive PID control of a stepper motor driving a flexible rotor28 citations · 2011
- 3Supervisory position control for wheeled mobile robot5 citations · 2016
- 4
- 5Neural-Networks-Based Inverse Kinematics for a Robotic Manipulator2 citations · 2013