Saman Amini Serajgah

Papers

Total Citations

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About

Saman Amini Serajgah is a rising researcher in robotics and control systems, with a focus on adaptive and fault-tolerant control strategies for robotic manipulators. Her most cited work, "Prescribed finite-time adaptive fuzzy-based fault-tolerant control of robotic manipulators using dynamic scaling factor" (2025), introduces an innovative approach that combines fuzzy logic with dynamic scaling factors to ensure robust performance even under actuator faults. This contribution addresses critical challenges in real-world robotics, where system reliability and precision are paramount. While her citation count is still growing—reflecting the recent publication of her key paper—her work has already garnered attention for its practical implications in industrial automation and autonomous systems. Serajgah’s research bridges theoretical control theory and applied robotics, offering solutions that enhance safety and efficiency in complex environments. Her achievements demonstrate a strong potential for future impact, particularly in the development of intelligent, fault-tolerant systems that can adapt to unpredictable conditions. As her work gains traction, she is poised to become a notable voice in the field of robotic control and adaptive systems.