Fatemeh Mohammadi Amin
ZHAW Zurich University of Applied Sciences, University of Zurich
Papers
4
Total Citations
104
H-Index
3
About
Fatemeh Mohammadi Amin is a researcher specializing in human-robot collaboration (HRC), computer vision, and intelligent manufacturing systems, with a particular focus on advancing safety and adaptability in industrial automation environments. Her most influential work, "A Mixed-Perception Approach for Safe Human–Robot Collaboration in Industrial Automation" (2020), has accumulated over 75 citations and demonstrates her pioneering role in developing multi-modal perception frameworks that enable robots to operate safely and flexibly alongside human workers — a challenge central to the emerging Industry 5.0 paradigm. Building on this foundation, she contributed the COVERED dataset (2022), a specialized 3D semantic segmentation resource designed specifically for collaborative robot environments, addressing a critical gap in training data for cobot systems. Her more recent work on Sim2Real domain adaptation for point cloud segmentation (2025) reflects her continued commitment to bridging the gap between simulated training environments and real-world industrial deployment. Across her publications, Mohammadi Amin consistently tackles the intersection of deep learning, 3D scene understanding, and human-centered robotics, making meaningful contributions to safer and more intelligent human-machine collaboration in modern manufacturing contexts.
Research Focus
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Top Papers
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