F. Rotaru

Romanian Academy, Academia Oamenilor de Știință din România

Papers

Total Citations

H-Index

About

F. Rotaru is a researcher in computer vision and robotics, with a focus on 3D pose computation and object recognition for autonomous systems. Their work addresses critical challenges in robot vision, particularly in scenarios where object position cannot be determined from a single view. Rotaru’s most-cited paper, "Human Activity Recognition using Inertial Data" (2021, 5 citations), explores the emerging field of sensor-based activity classification for applications in medicine, sport, and human-robot interaction. Their earlier contributions include "Adaptive recognition method for 2D polygonal objects" (2011, 4 citations), which developed a convex polygon recognition algorithm suitable for robot vision and quality control, and "Robot Vision Application Based On Complex 3D Pose Computation" (2009, 4 citations), which introduced a technique for establishing object position from multiple views when single-view methods fail. Rotaru’s work on 3D reconstruction and Euclidean transform computation (2010, 3 citations) has further advanced robot head reorientation capabilities. With a cumulative citation count of 16, Rotaru’s research demonstrates steady impact in the niche but vital intersection of computer vision and robotics, offering practical solutions for real-world automation challenges.