Papers
13
Total Citations
110
H-Index
6
About
Shohreh Kasaei is a robotics and computer vision researcher whose work spans autonomous robotic systems, 3D object recognition, and scene understanding. Her research trajectory begins with foundational contributions to autonomous soccer robotics, where she designed and implemented fully autonomous soccer robots for RoboCup competitions — developing omni-directional vision systems, solenoid-based kicking mechanisms, and fuzzy decision-making algorithms for cooperative multi-agent behavior. These early works, collectively garnering dozens of citations, established her expertise in real-time robot control and intelligent decision-making in dynamic environments. Kasaei's research later evolved toward cognitive robotics and deep learning, with her most-cited work — "Perceiving, Learning, and Recognizing 3D Objects" (32 citations) — addressing the critical challenge of enabling service robots to continuously learn and recognize object categories in unstructured, real-world settings. This lifelong learning approach represents a significant contribution to human-robot interaction. Complementing this, her multi-modal semantic segmentation work, including the attention-based RGB-Depth fusion model (16 citations) and the Multi-Modal Multi-Resolution Refinement Network, advances 3D scene understanding for robotic perception. Across her career, Kasaei bridges practical robotics engineering with cutting-edge machine learning, making her work highly relevant to researchers in autonomous systems and embodied artificial intelligence.
Research Focus
Key Achievements
Top Papers
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- 5Design And Implementation A Fully Autonomous Soccer Player Robot7 citations · 2009
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- 9Design and implementation of a fully autonomous humanoid soccer robot4 citations · 2012
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