Kamal M. H. Raheem

About

Kamal M. H. Raheem is a robotics and control systems researcher whose work centers on the modeling, simulation, and intelligent control of multi-degree-of-freedom robotic manipulators. His primary contributions lie in comparing and optimizing classical and advanced control strategies—particularly PID, sliding mode, and fuzzy logic controllers—for 3-DOF serial link robots. His two most cited papers (each with 63 citations) demonstrate the effectiveness of sliding mode control for trajectory tracking and the application of fuzzy logic to handle the nonlinear complexities inherent in robotic systems. Raheem’s research also explores the integration of neural networks to optimize fuzzy-PD control, as seen in his 2024 publication. By systematically evaluating and enhancing control techniques, his work provides practical frameworks for improving the precision and stability of industrial robotic arms. With over 145 total citations, Raheem’s studies serve as foundational references for engineers and researchers seeking robust, adaptive control solutions in robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Modeling 3-Degree of freedom robotics manipulator with PID and sliding mode controller

   63 citations · 2022
2. 2
   A fuzzy logic controller for a three links robotic manipulator

   63 citations · 2022
3. 3
   Simulation 3-DOF RRR Robotic Manipulator under PID Controller

   17 citations · 2019
4. 4
   Optimization of Fuzzy-PD Control for a 3-DOF Robotics Manipulator Using a Back-Propagation Neural Network

   2 citations · 2024

Key Collaborators

Contact & Links