Mansour Kabganian
Papers
9
Total Citations
126
H-Index
7
About
Mansour Kabganian is a robotics and control systems researcher whose work spans advanced manipulation, nonlinear control, and miniaturized robotic systems. His research is particularly distinguished by its breadth — from large-scale parallel and serial manipulators to microscale in-pipe inspection robots — united by a consistent focus on solving real-world control challenges in the presence of nonlinearity, uncertainty, and dynamic complexity. Among his most influential contributions is his work on cable-driven parallel robots, where he applied adaptive neuro-fuzzy inference systems to achieve robust control under intrinsic mechanical challenges (26 citations). His parallel investigations into underactuated robotic systems produced a practical switching controller for swing-up maneuvers (23 citations), while his adaptive sliding mode controller enabled real-time identification of unknown dynamic parameters in fully-actuated robots (22 citations). Earlier work on wheeled mobile robots demonstrated his range, combining feedback linearization with fuzzy control for reliable trajectory tracking (20 citations). Kabganian has also made notable inroads into soft and miniature robotics, developing flexible minirobots actuated by shape memory alloys and modeling IPMC-legged in-pipe microrobots. His adaptive approaches to flexible-link manipulators with friction compensation further underscore his commitment to bridging theoretical rigor with practical implementation, making his body of work a valuable resource for researchers in robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
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- 2Switching controller design to swing-up a two-link underactuated robot23 citations · 2017
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- 5Modelling of a novel in-pipe microrobot design with IPMC legs11 citations · 2011
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