Mohammed Baniyounis
Papers
5
Total Citations
17
H-Index
2
About
Dr. Mohammed Baniyounis is a robotics researcher specializing in industrial automation, motion control, and intelligent control systems for robotic manipulators. His major contributions include the development of the ROBO-2L MATLAB toolbox, which simplifies the programming and motion control of KUKA industrial robots by providing a user-friendly interface for trajectory tracking and real-time communication via the Robot Sensor Interface (RSI). He has also advanced the application of reinforcement learning and artificial neural networks to solve complex problems such as inverse kinematics and friction compensation in robotic arms, enhancing accuracy and reducing operational losses. With over 15 citations across his most-cited works, his research demonstrates practical impact in bridging simulation and real-world robot control. Notable achievements include the design of an ANFIS-based controller for trajectory tracking and the validation of inverse kinematics solutions using DH conventions. Dr. Baniyounis’s work is highly relevant for students and researchers interested in accessible tools for industrial robotics, intelligent control, and the integration of machine learning with mechatronic systems.
Research Focus
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Top Papers
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