Papers

4

Total Citations

17

H-Index

3

About

Mohanad Abbood is a robotics researcher whose work centers on robotic kinematics, motion planning, and autonomous systems. His most significant contributions focus on the mathematical analysis and simulation of multi-degree-of-freedom robotic arms, with a particular emphasis on solving complex kinematic problems that govern robotic movement and control. His most cited work, "Inverse Kinematics Analysis and Simulation of a 5 DOF Robotic Arm using MATLAB" (2020, 8 citations), demonstrates his expertise in determining end-effector positioning — a fundamental challenge in robotic manipulation. Complementing this, his research on velocity kinematics and trajectory planning employs Jacobian matrix methods and polynomial equations to achieve smooth, precise robotic motion, while his application of Denavit-Hartenberg parameters provides rigorous frameworks for kinematic modeling. Beyond theoretical robotics, Abbood has extended his research into real-world applications, notably developing a mobile surface disinfection robot in response to the COVID-19 pandemic, showcasing his commitment to socially impactful engineering solutions. With a focused body of work accumulating citations across multiple publications, Abbood represents an emerging voice in applied robotics, bridging analytical rigor with practical innovation in automation and intelligent systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
17
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Inverse Kinematics Analysis and Simulation of a 5 DOF Robotic Arm using MATLAB
8 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Technology - Iraq

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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