Shirin Yousefizadeh
Papers
2
Total Citations
26
H-Index
2
About
Shirin Yousefizadeh’s research lies at the critical intersection of human–robot collaboration and industrial safety, with a primary focus on enabling robots to sense and respond to physical contact without costly hardware. Her work centers on developing advanced force estimation algorithms that allow cooperative manipulators to detect collisions and unknown external forces using only internal sensors. In her highly cited 2019 paper, “Unknown External Force Estimation and Collision Detection for a Cooperative Robot” (16 citations), she introduced a method that eliminates the need for expensive force/torque sensors, making safe human–robot interaction more accessible for industrial applications. Building on this, her companion work “Nonlinear Disturbance Observer for External Force Estimation in a Cooperative Robot” (10 citations) refined the estimation accuracy using nonlinear observer theory. Collectively, her contributions have been cited over 26 times, demonstrating growing impact in the robotics community. Yousefizadeh’s work directly addresses a key barrier to widespread adoption of collaborative robots—cost—while maintaining the high safety standards essential for shared workspaces. Her research offers practical, sensorless solutions that are immediately relevant to engineers designing next-generation manufacturing systems.
Research Focus
Key Achievements
Top Papers
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