Mostafa Rostom
Papers
1
Total Citations
6
H-Index
1
About
Mostafa Rostom is a researcher specializing in robotics, control systems, and artificial intelligence, with a particular focus on parallel manipulators and their modeling. His most-cited work, "Modelling and simulation of 3DOF parallel manipulator using artificial neural network" (2019), addresses a critical challenge in robotics: accurately determining the workspace and forward kinematics of parallel robots, which are known for their precision and high payload capacity compared to serial robots. By integrating artificial neural networks into the modeling process, Rostom offers a novel approach to solving complex kinematic problems, enhancing the efficiency and accuracy of robotic systems. This contribution has garnered 6 citations, reflecting its relevance in the field of robotics and automation. Rostom’s work is notable for bridging traditional mechanical design with modern computational methods, making it valuable for students and researchers exploring advanced robotic control and simulation techniques. His research underscores the potential of AI-driven solutions in optimizing robotic performance, particularly in applications requiring precise movement and heavy load handling.
Research Focus
Key Achievements
Top Papers
- 1