Mohmad Osama
Papers
2
Total Citations
16
H-Index
2
About
Mohmad Osama is a rising researcher in robotics and control systems, with a focused expertise in the design and precision control of parallel delta robots. His work bridges mechanical engineering, electrical wiring, and advanced computer vision to create cost-effective, high-performance automation solutions. Osama’s most cited paper, "Low-cost parallel delta robot for a pick-and-place application with the support of the vision system" (2024, 13 citations), introduces a novel, affordable delta robot system that integrates vision for enhanced accuracy, addressing key challenges in assembly and industrial automation. Building on this, his 2025 paper "Hybrid control strategy using iterative learning and state-dependent Riccati equation for enhanced precision in parallel delta robots" (3 citations) pioneers a hybrid control approach that combines Iterative Learning Control (ILC) with State-Dependent Riccati Equation (SDRE) methods, significantly improving robot stability, optimality, and error reduction. This work demonstrates his ability to merge theoretical control advances with practical robotic applications. With a growing citation impact, Osama’s contributions are laying the groundwork for more accessible and precise robotic systems, making him a notable emerging voice in the field of mechatronics and intelligent control.
Research Focus
Key Achievements
Top Papers
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- 2