Hajar Nasiri
Papers
1
Total Citations
52
H-Index
1
About
Hajar Nasiri is a leading figure in advanced robotics control, specializing in the design of intelligent, adaptive systems for robot manipulators operating under uncertainty. Her most influential work, "Novel Robot Manipulator Adaptive Artificial Control," introduces a groundbreaking Single-Input Single-Output (SISO) adaptive fuzzy sliding algorithm combined with an inverse dynamic-like method (NAIDLC). This approach masterfully integrates fuzzy logic with sliding mode control to achieve high-performance nonlinear control, effectively mitigating the destabilizing effects of system uncertainties and external disturbances. With over 52 citations, this paper has become a cornerstone reference for researchers developing robust, adaptive controllers in robotics. Nasiri’s contributions are pivotal for advancing the precision and reliability of autonomous robotic systems, particularly in complex manufacturing and surgical applications. Her work stands out for its practical, theoretically sound methodology that bridges the gap between classical control theory and modern artificial intelligence, offering a clear pathway for implementing high-performance controllers in real-world robotic platforms.
Research Focus
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Top Papers
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