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About

Thu-Uyen Nguyen is a rising researcher in computer vision and robotics, specializing in 3D perception and human-robot interaction. Her work focuses on developing intelligent systems that can understand and manipulate objects in three-dimensional space, with particular emphasis on grasp synthesis and pose estimation. Nguyen's most impactful contribution is her 2023 paper "Grasp Configuration Synthesis from 3D Point Clouds with Attention Mechanism," which has garnered 17 citations and introduces novel attention-based methods for robotic grasping. She has further advanced the field through her 2024 work on attention-based hand pose estimation using voting mechanisms and dual modalities, and her 2025 paper on vote-based multimodal fusion for hand-held object pose estimation. This latest work addresses the critical challenge of estimating the pose of objects held in human hands by leveraging color (RGB) and depth (D) data, with direct applications in robotic manipulation, human-robot interaction, and augmented reality. Nguyen's research demonstrates a clear trajectory toward more robust and practical solutions for real-world robotic systems, making her a promising voice in the intersection of computer vision and robotics.