Sanda Margareta Grigorescu

Papers

Total Citations

H-Index

About

Sanda Margareta Grigorescu’s research focuses on the intersection of computer vision, robotics, and industrial automation, with a particular emphasis on visual servoing and object recognition. Her major contributions include developing algorithms that enable robots to detect, identify, and manipulate objects in real-time, such as colored objects on conveyor pallets and bearings for sorting applications. Her most cited work, “Colored object detection algorithm for visual-servoing application” (2012, 6 citations), introduces a vision-based method for automated detection, height calculation, and type determination of objects, showcasing practical applications in manufacturing. In “Robot Vision Application for Bearings Identification and Sorting” (2012, 3 citations), she extends this work to industrial components, while “Image Processing and Artificial Neural Network for Robot Application” (2014, 2 citations) integrates neural networks for shape classification and pose estimation. Though her citation counts are modest, her work demonstrates a systematic approach to bridging image processing and robotic control, with applications in sorting and assembly lines. Her achievements lie in creating accessible, MATLAB-based solutions for automated object handling, contributing to the field of intelligent robotics and offering foundational insights for students and researchers exploring vision-guided automation.