Mohammad Tavakolian

Papers

Total Citations

H-Index

About

Mohammad Tavakolian’s research centers on the dynamics, kinematics, and control of parallel robotic manipulators, with a particular focus on high-precision machine tools. His most cited work provides a rigorous Lagrangian dynamics analysis of an XY-Theta parallel robotic machine tool, a system distinguished by its high stiffness, exceptional accuracy, and large, singularity-free workspace. This contribution is critical for advancing precision machining applications, where such manipulators serve as high-performance positioning tables. By deriving the complete dynamic model, Tavakolian’s work enables more effective control strategies and performance optimization for industrial robotics. With 6 citations, this paper has established a foundation for further studies in parallel mechanism dynamics. His research addresses the growing demand for stiff, accurate, and versatile robotic systems in manufacturing, making his contributions valuable for both academic researchers and engineers developing next-generation machine tools.