Oana Cramariuc

Center of Technology and Engineering for Nuclear Projects

Papers

Total Citations

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About

Oana Cramariuc is a researcher whose work lies at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on assistive technologies. Her key research areas include human activity recognition, object manipulation for assistive robots, and educational robotics. Cramariuc's most cited paper, "Human Activity Recognition with Convolution Neural Network Using TIAGo Robot" (2018, 7 citations), introduces a two-layer convolutional neural network that combines spatial and temporal information from RGB camera frames to enable robots to understand human actions. This contribution is foundational for developing robots that can respond intelligently to human behavior. In her 2021 work on object manipulation for assistive robots (2 citations), she addresses the critical challenge of safe and autonomous grasping, integrating navigation, scene understanding, and manipulation capabilities. Her 2019 paper on using the TIAGo robot to facilitate learning and improve education (2 citations) extends her work into pedagogical applications, demonstrating how robotic platforms can enhance educational outcomes. Through these contributions, Cramariuc is advancing the field of assistive robotics, making robots more perceptive, interactive, and useful in both caregiving and educational settings.