Shabnam Shakourzadeh

Iran University of Science and Technology, University of Parma

Papers

Total Citations

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About

Shabnam Shakourzadeh is a robotics researcher whose work focuses on the control and safety of robotic systems, particularly legged and collaborative robots. Her key contributions lie in the development of advanced control strategies and collision detection methods. Her most cited work, "Fuzzy-backstepping control of quadruped robots" (2020, 11 citations), introduces a novel approach to stabilizing and controlling the complex dynamics of quadruped locomotion, blending fuzzy logic with backstepping techniques to enhance robustness and adaptability. More recently, she has addressed a critical challenge in human-robot interaction with her 2024 paper on "A fast Collision Detection System based on an Extended State Observer." This work proposes an innovative method that detects impacts anywhere on a collaborative robot without requiring torque sensors, significantly improving safety in shared workspaces. By leveraging an extended state observer, her approach offers a fast, sensor-free alternative to traditional collision detection, making it both cost-effective and practical for industrial applications. Shakourzadeh’s research bridges theoretical control design with real-world safety needs, demonstrating a clear impact on the future of autonomous and collaborative robotics.