Rumaia Abdulhai
Papers
1
Total Citations
57
H-Index
1
About
Rumaia Abdulhai is a leading researcher in robotics and spatial perception, with a focus on developing hierarchical representations and real-time systems that enable robots to understand and interact with their environments more intelligently. Her most-cited work, "Foundations of spatial perception for robotics: Hierarchical representations and real-time systems" (2024, 57 citations), addresses the critical challenge of building actionable, persistent 3D representations from sensor data and prior knowledge—moving beyond purely geometric maps to create richer, more functional models. Abdulhai’s contributions bridge the gap between low-level sensing and high-level reasoning, allowing robots to maintain situational awareness over time and adapt to dynamic settings. Her research has significant implications for autonomous navigation, manipulation, and human-robot interaction, and she is recognized for advancing the theoretical foundations of spatial AI. With a growing citation impact, Abdulhai’s work is shaping how robots perceive and act in the world, making her a rising voice in the robotics community. Her achievements underscore a commitment to real-world deployment, where robust, real-time perception is key to unlocking the next generation of intelligent machines.
Research Focus
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Top Papers
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