Mehrdad Farid
Papers
15
Total Citations
223
H-Index
7
About
Mehrdad Farid is a robotics and mechanical engineering researcher whose work centers on parallel robots, cable-suspended robotic systems, and advanced control methodologies. He has made particularly significant contributions to solving the notoriously difficult forward kinematics problem of parallel robots — including HEXA parallel robots and cable robots — by pioneering the application of neural network solutions where traditional analytical methods fall short. His 2010 and 2008 papers on this topic have garnered 59 and 53 citations respectively, reflecting their substantial influence on the field. Farid's research extends into trajectory optimization for cable-suspended robots, where he has addressed time-optimal and minimum-time path planning while simultaneously respecting both cable tension and velocity constraints — a practically critical challenge for real-world deployment. His workspace analysis contributions for planar and spatial redundant cable robots have provided systematic tools for design and configuration optimization. Beyond cable robotics, Farid has explored tensegrity mechanisms, adaptive passivity-based control of flexible-joint manipulators under collision scenarios, and fuzzy logic control for cooperating robotic manipulators handling flexible structures. Collectively, his body of work spans kinematic analysis, motion planning, and intelligent control, offering researchers and engineers valuable frameworks for designing and operating complex robotic systems more effectively.
Research Focus
Key Achievements
Top Papers
- 1Neural Network Solution for Forward Kinematics Problem of Cable Robots59 citations · 2010
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- 4Workspace Analysis for Planar and Spatial Redundant Cable Robots26 citations · 2009
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- 6Workspace analysis of planar and spatial redundant cable robots11 citations · 2008
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