Papers
130
Total Citations
1,431
H-Index
18
About
Mehdi Tale Masouleh is a prominent robotics researcher whose work spans parallel robot mechanisms, cable-driven systems, and advanced control methodologies. His research has made substantial contributions to the design, analysis, and control of complex robotic systems, with a particular focus on parallel manipulators including Gough–Stewart platforms, Delta robots, and cable-driven parallel robots. Masouleh's most influential contributions include developing a Backstepping-Sliding Mode controller combined with geometry-based forward kinematics for pneumatically actuated parallel robots (75 citations), and pioneering vision-based control strategies for planar cable-driven parallel robots (52 citations). His analytical approach to dimensional synthesis of Delta robots for prescribed workspaces (48 citations) has provided the field with practical design tools, while his dynamic analysis of the novel Hexarot manipulator (44 citations) demonstrates his breadth across novel mechanism development. Beyond classical robotics, Masouleh has expanded into machine learning applications, contributing a deep learning-based global path planning framework (38 citations). His work consistently bridges theoretical rigor with experimental validation, evidenced by studies on haptic device identification, oscillation damping, and singularity avoidance. Collectively accumulating nearly 450 citations, his research continues to meaningfully advance intelligent, high-performance robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Dynamic analysis of Hexarot: axis-symmetric parallel manipulator44 citations · 2017
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