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I am a Post Doctoral researcher in the Humanoid Sensing and Perception (HSP) research line. The main fields of my research are: computer vision, machine learning and humanoid robotics. The main thread of my research is the improvement of the vision systems for humanoid robots towards a more natural, efficient and intuitive learning process,  involving human robot interaction and the development of efficient algorithmic solutions.

I graduated in Software and Electronics Engineering at the University of Perugia, Italy, in 2013 and I obtained an M.D. with honors in Software and Automation Engineering at the same university in 2016. I received the Ph. D. in Bioengineering and Robotics from 2016 to 2020, at  the Istituto Italiano di Tecnologia in collaboration with the University of Genoa, under the supervision of Prof. Lorenzo Natale and Prof. Lorenzo Rosasco.

All Publications
Ceola F., Maiettini E., Rosasco L., Natale L.
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch
IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference Paper Conference
Maracani A., Camoriano R., Maiettini E., Talon D., Rosasco L., Natale L.
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
arXiv preprint
Article Journal
Maiettini E., Maracani A., Camoriano R., Pasquale G., Tikhanoff V., Rosasco L., Natale L.
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots, pp. 942-949
Conference Paper Conference
Vasile F., Maiettini E., Pasquale G., Florio A., Boccardo N., Natale L.
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis
The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Conference Paper Conference
Lombardi M., Maiettini E., Tikhanoff V., Natale L.
iCub Being Social: Exploiting Social Cues for Interactive Object Detection Learning
2022 IEEE-RAS International Conference on Humanoid Robotics (Humanoids)
Conference Paper Conference