Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing
Consiglio Nazionale delle Ricerche

http://www.stiima.cnr.it
http://cms.stiima.cnr.it/isp/
https://sites.google.com/view/annalisamilella/
https://www.facebook.com/IspStiimaCnr/

Contact by mail
Dr. Annalisa Milella received the Laurea (summa cum laude) and the Research Doctorate degrees from the Politecnico of Bari, Italy, in 2002 and 2006, respectively, both in Mechanical Engineering. In 2005, she was a visiting PhD student at the EPFL Autonomous Systems Laboratory. From 2006 to 2009, she worked as a Postdoctoral Researcher at the Institute of Intelligent Systems for Automation (ISSIA), National Research Council (CNR), Bari, Italy. From December 2009 to June 2018, she has been a Researcher at ISSIA. Since June 2018, she has been a Researcher at the Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing (STIIMA) of CNR. She is principal investigator of the CNR research unit for the project H2020 DT-ICT-08-2019 Agricultural Interoperability and Analysis System (ATLAS). In 2010, under the CNR’s Short Term Mobility Program, she started a scientific collaboration with the Australian Centre for Field Robotics (ACFR), University of Sydney. In 2012, she has been scientific responsible for CNR unit of the research agreement between CNR and University of Salento under the FP7 ERA-NET ICT-AGRI Ambient Awareness for Autonomous Agricultural Vehicles (QUAD-AV) project. From January 2016 to April 2018, she has been principal investigator of the CNR research unit for the project FP7 ERA-NET ICT-AGRI 2 Simultaneous Safety and Surveying for Collaborative Agricultural Vehicles (S3-CAV). She is author of more than 70 publications on international journals, conference proceedings, and book chapters. She has taught academic courses and seminars in the field of applied mechanics, maintenance of mechanical systems, computer vision, and robot mechanics. Her main research interests are in the field of robotics and automation, and include: multi-sensor systems for robot perception in structured/unstructured environments, 3D reconstruction and mapping, signal and image processing applied to robotics and intelligent systems, agricultural robotics, vision-based surveillance and inspection systems.