Raheem Al‐Sabur
Papers
4
Total Citations
21
H-Index
3
About
Raheem Al-Sabur is an emerging robotics and control systems researcher whose work sits at the intersection of intelligent computing, mechanical design, and autonomous systems. His research primarily focuses on robotic gripper design, adaptive neuro-fuzzy control techniques, and composite materials for robotic applications — areas where he has made increasingly recognized contributions in a short span of time. Al-Sabur's most impactful work, "Design and Modeling of an Intelligent Robotic Gripper Using a Cam Mechanism with Position and Force Control Using an Adaptive Neuro-Fuzzy Computing Technique" (2025, 12 citations), advances traditional gripper design by integrating cam mechanisms with ANFIS-based control, offering manufacturers greater flexibility and efficiency in industrial grasping operations. This builds on his earlier 2022 study on modified robotic gripper mechanisms (5 citations), establishing a clear trajectory of innovation in intelligent gripping systems. Beyond grippers, Al-Sabur has explored the structural dynamics of carbon fiber composites under sinusoidal loading and developed novel ANFIS-based predictive MIMO control strategies for self-balancing autonomous robots. Together, his publications accumulate over 20 citations, reflecting growing scholarly interest in his interdisciplinary approach — combining mechanical ingenuity with sophisticated computational intelligence to address real-world robotics challenges.
Research Focus
Key Achievements
Top Papers
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