Sh. Tayebe Haghighi
Papers
1
Total Citations
67
H-Index
1
About
Sh. Tayebe Haghighi is a researcher whose work lies at the intersection of robotics, control systems, and artificial intelligence, with a particular focus on the intelligent control of robot manipulators. Her most cited work, “Artificial Control of PUMA Robot Manipulator: A-Review of Fuzzy Inference Engine And Application to Classical Controller” (2011, 67 citations), addresses one of the most critical challenges in robotics: the effective control of multi-input, multi-output (MIMO) nonlinear systems operating under uncertainty. In this influential review, Haghighi systematically explores how fuzzy inference engines can be integrated with classical controllers to enhance the performance of PUMA robot manipulators in unknown or unstructured environments. Her contributions provide a foundational framework for bridging traditional control theory with modern intelligent systems, offering practical insights for improving stability and adaptability in robotic applications. By synthesizing and advancing knowledge in this niche yet vital area, Haghighi has helped shape the trajectory of adaptive control research, making her work a valuable reference for students and engineers seeking to develop more robust, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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