Amir Naderolasli
Islamic Azad University of Najafabad, Islamic Azad University, Isfahan
Papers
2
Total Citations
40
H-Index
2
About
Amir Naderolasli is a robotics and control systems researcher whose work focuses on the challenging intersection of multi-agent coordination, nonlinear dynamics, and real-world actuator constraints. His most impactful contribution, the 2023 paper on leader-follower formation control of Euler-Lagrange systems, addresses a critical problem in autonomous mobile robotics: how to maintain stable formations when robots have limited sensor fields-of-view and saturating actuators. Using a tractor-trailer wheeled mobile robot as a case study, this work has garnered 32 citations, reflecting its practical relevance for applications in warehouse logistics, agricultural robotics, and autonomous convoy systems. Naderolasli also explores intelligent control methodologies, as demonstrated in his 2019 paper on type-2 fuzzy robust adaptive control for single-degree-of-freedom robot manipulators. This work contributes to the broader field of adaptive control by handling system uncertainties more effectively than conventional fuzzy approaches. His research bridges theoretical control theory with practical implementation challenges, making his findings valuable for both academic researchers and engineers developing next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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