H.A. Mohamed
Papers
3
Total Citations
37
H-Index
3
About
Dr. H.A. Mohamed is a robotics researcher whose work centers on autonomous navigation, robotic manipulation, and intelligent control systems. His most impactful contribution is the Radial Cell Decomposition (RCD) algorithm for mobile robot path planning, a novel approach that efficiently finds optimum paths for autonomous robots deployed in dynamic environments such as factories, hospitals, and farms. This work, published in 2021, has already garnered 28 citations, reflecting its significance in addressing the critical need for fast, reliable path planning in real-world applications. Dr. Mohamed has also advanced robotic manipulation through his analysis of grasping stability for underactuated three-finger adaptive grippers, using MATLAB Sim-Mechanics to model and predict stable grasps—a persistent challenge in robotics. Additionally, his earlier work on adaptive neuro-fuzzy control for industrial robots, specifically the SCARA arm, demonstrates his expertise in integrating artificial neural networks with fuzzy logic for precise, feed-forward torque control. With a research portfolio that bridges theoretical algorithms and practical robotic systems, Dr. Mohamed continues to contribute to the growing field of autonomous robotics, making his work essential reading for students and researchers focused on path planning, grasping, and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1RCD: Radial Cell Decomposition Algorithm for Mobile Robot Path Planning28 citations · 2021
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