Tale Masouleh Mehdi
Papers
2
Total Citations
6
H-Index
2
About
Mehdi Tale Masouleh is a leading researcher in the field of robotics, with a primary focus on the optimal design, dynamic modeling, and control of parallel and serial robotic manipulators. His major contributions include the development of novel methodologies for achieving singularity-free workspaces in complex parallel robots, such as the 4-DOF Quattrotaar, where he employed advanced optimization algorithms like Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) to enhance performance and fabrication precision. Additionally, his work on dynamic modeling and sensitivity analysis of n-linkage planar serial robots, using techniques like Sobol and EFAST methods, has provided critical insights into how design parameters influence robot behavior, enabling more robust and efficient mechanical designs. With several of his papers accumulating citations, his research has had a tangible impact on both theoretical and applied robotics, particularly in the areas of workspace optimization and sensitivity analysis. Tale Masouleh’s achievements are recognized for bridging the gap between algorithmic design and practical robot fabrication, making his work essential for students and researchers interested in advanced robotic systems and optimization-driven engineering.
Research Focus
Key Achievements
Top Papers
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- 2