Papers
3
Total Citations
16
H-Index
2
About
F. Srairi is a researcher focused on robotics, control systems, and intelligent automation, with key contributions in object tracking, mobile robot control, and biomedical microrobotics. Their most cited work, "Object Tracking Platform for Color Object Detection using Genetic Algorithm Optimization" (2020, 9 citations), addresses a classic challenge in robotics—reliable object detection in unknown environments—by developing a robotic system that integrates ultrasonic sensors and cameras with genetic algorithm optimization for enhanced tracking performance. Srairi also advanced mobile robot control through "Modeling and control of mobile platform using flatness-fuzzy based approach with gains adjustment" (2017, 5 citations), which introduces a novel control strategy for autonomous agents like the Pioneer 3DX robot, combining flatness theory with fuzzy logic for adaptive motion under constraints. Extending this expertise to medical applications, Srairi's work on "Modeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications" (2017, 2 citations) demonstrates innovative use of flatness-fuzzy control for precise microrobot navigation in biomedical settings. Though citation counts remain modest, Srairi's research bridges theoretical control methods with practical robotic systems, offering valuable insights for students and researchers in autonomous navigation, optimization, and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3