Arman Nasirian

Papers

Total Citations

H-Index

About

Arman Nasirian is a researcher specializing in advanced control systems, with a particular focus on teleoperation, robotics, and fuzzy logic-based control. His most cited work, "Sliding mode fuzzy rule base bilateral teleoperation control of 2-DOF SCARA system" (2016, 13 citations), introduces a novel approach that integrates sliding mode control theory with fuzzy logic to address the challenges of time delay and system uncertainties in bilateral teleoperation. This contribution is notable for enhancing the robustness and precision of remote robotic manipulation, particularly in applications like surgical robotics or hazardous environment operations. Nasirian’s research demonstrates a strong interdisciplinary approach, combining robust control theory with intelligent systems to solve real-world engineering problems. His work has been recognized for its practical implications in improving the stability and performance of teleoperated systems, making it a valuable reference for researchers in robotics and control engineering. With a growing citation record, Nasirian continues to contribute to the development of more reliable and adaptive control architectures for complex dynamic systems.