Annalisa Milella
PhD in Mechanical Engineering
PhD in Mechanical Engineering
Researcher at
Institute of Intelligent Industrial Systems and TechnologiesÂ
for Advanced Manufacturing (STIIMA)
National Research Council of Italy (CNR)
https://www.stiima.cnr.it/ricercatori/annalisa-milella/
Annalisa Milella is a Senior Researcher at the Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA) of the Italian National Research Council (CNR). She received her M.Sc. degree summa cum laude in Mechanical Engineering in 2002 and her Ph.D. in Mechanical Engineering in 2006 from the Politecnico di Bari, Italy.
She began her research career as a Postdoctoral Researcher at the CNR Institute of Intelligent Systems for Automation (ISSIA), where she worked from 2006 to 2009. She subsequently joined ISSIA as a permanent Researcher, a position she held until 2018. Since June 2018, she has been a Researcher at CNR-STIIMA.
Her research focuses on robotic perception and intelligent systems, with particular emphasis on multi-sensor systems for robot perception in unstructured and semi-structured environments, 2D and 3D vision, 3D reconstruction and mapping, and signal and image processing. Her current research activities increasingly combine robotics, artificial intelligence, and multi-modal sensing for agricultural applications, with a particular interest in crop monitoring, phenotyping, and precision agriculture.
Dr. Milella has contributed to several national and international research projects and has served as Principal Investigator of the CNR research unit in the H2020 ATLAS project and in the ERA-NET ICT-AGRI 2 S3-CAV and ERA-NET ICT-AGRIFOOD ANTONIO projects. She currently leads the CNR research unit in the Horizon Europe project AgRibot, focused on the development and deployment of robotics and AI technologies for sustainable agricultural applications.
She is the author of more than 100 scientific publications in international journals, conference proceedings, and book chapters. Her work lies at the intersection of robotics, computer vision, and artificial intelligence, with the goal of developing reliable and effective perception technologies for real-world robotic applications.