Hamed Navvabi
Papers
2
Total Citations
77
H-Index
2
About
Hamed Navvabi is a leading researcher in advanced robotics and nonlinear control systems, with a primary focus on the precise position and force control of complex manipulators. His major contributions center on the development of novel hybrid control strategies, particularly the Extended Adaptive Fuzzy Sliding Mode Controller (E-AFSMC), which he successfully applied to the Stewart Manipulator—a platform critical for flight simulation and precision machining. This work, cited 52 times, demonstrates how fuzzy logic and adaptive mechanisms can overcome the challenges of state-dependent uncertainties in high-degree-of-freedom systems. Navvabi further extended his methodology to hexapod robots, achieving robust position control under nonlinear dynamics, as documented in his 25-citation paper. His research bridges theoretical control engineering with practical robotic applications, offering solutions that enhance stability and accuracy in autonomous systems. By integrating adaptive fuzzy systems with sliding mode control, Navvabi has provided a framework that reduces chattering and improves response in uncertain environments, making his work essential for students and engineers developing next-generation robotic platforms.
Research Focus
Key Achievements
Top Papers
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