Ramona Luca

Romanian Academy, Academia Oamenilor de Știință din România

Papers

Total Citations

H-Index

About

Ramona Luca’s research sits at the intersection of robotics, computer vision, and human-machine interaction, with a focus on enabling autonomous systems to perceive and respond intelligently to their environments. Her most cited work, “An ontology of human walk for autonomous systems” (2014, 9 citations), pioneers a high-level representation of human movement, allowing robots to plan paths and interact with pedestrians more naturally—a foundational step toward socially aware navigation. In “Human Activity Recognition using Inertial Data” (2021, 5 citations), she advances wearable sensor-based classification for applications in medicine, sport, and human-robot collaboration. Luca also contributes significantly to geometric vision: her adaptive recognition method for 2D polygonal objects (2011, 4 citations) and her 3D pose computation techniques (2009–2010, 7 citations combined) provide robust solutions for robot vision, quality control, and photogrammetry, enabling single- and multi-view object localization. Across her career, Luca’s work bridges abstract ontological modeling with practical vision algorithms, demonstrating consistent impact in autonomous systems and robotic perception. Her research is particularly valuable for students and engineers developing robots that must understand and navigate human-centric spaces.