Fateme Namdarpour

Iran University of Science and Technology, University of Applied Science and Technology

Papers

Total Citations

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About

Fateme Namdarpour is a rising researcher in robotics and control systems, specializing in the navigation of nonholonomic wheeled mobile robots under challenging real-world conditions. Her work focuses on developing advanced control strategies that address wheel slip and obstacle avoidance—critical issues for autonomous mobile platforms operating on slippery or uneven surfaces. In her highly cited 2024 paper, Namdarpour demonstrated the superiority of model predictive control (MPC) with robust and stable approaches for sliding wheeled systems, achieving 4 citations by enabling robots to autonomously select alternative paths when encountering obstacles. Her 2025 follow-up introduced a hybrid stable adaptive control approach that further enhances navigation reliability on slippery surfaces, earning 3 citations. These contributions are particularly impactful for applications in search-and-rescue, industrial automation, and autonomous logistics, where reliable mobility in adverse conditions is essential. Namdarpour’s work bridges theoretical control theory with practical robotic implementation, offering computationally efficient solutions that maintain stability and safety. As her research gains traction, she is establishing herself as a key voice in adaptive and predictive control for mobile robotics, with potential to influence next-generation autonomous systems.