Maryam Farahmandrad
Papers
2
Total Citations
26
H-Index
2
About
Maryam Farahmandrad is a researcher specializing in advanced control systems for cooperative robotics, with a focus on handling uncertainty in dynamic environments. Her work centers on developing robust control strategies, particularly sliding mode controllers, to enable multiple robots to collaboratively grasp and manipulate objects with precision. In her highly cited 2019 papers, she introduced a fuzzy sliding mode controller that leverages passive decomposition to decouple complex robotic dynamics, ensuring stable object handling despite uncertainties in robot dynamics. Additionally, she designed a higher-order sliding mode controller optimized through genetic algorithms, enhancing robustness and performance in cooperative tasks. Each of these contributions has garnered 13 citations, reflecting their significance in the field of robotics and control theory. Farahmandrad’s research bridges theoretical control design and practical robotic applications, offering solutions that improve reliability and adaptability in multi-robot systems. Her work is particularly valuable for students and researchers exploring nonlinear control, cooperative robotics, and uncertainty mitigation, as it provides foundational methods for advancing autonomous manipulation in real-world scenarios.
Research Focus
Key Achievements
Top Papers
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