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Elisa Maiettini

Visiting Scientist
Humanoid Sensing and Perception
Research center
CRIS@SanQuirico
Biografia

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
2023
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
2023
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
DOI 10.48550/arXiv.2302.05379
Article Journal
2022
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
DOI 10.1109/RO-MAN53752.2022.9900780
2022
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
IEEE International Conference on Intelligent Robots and Systems, pp. 13112-13319
DOI 10.1109/IROS47612.2022.9981035
2022
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
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Colleagues of Humanoid Sensing and Perception
Zhichao Li PhD Student Humanoid Sensing and Perception
Leonardo Gori Support Technician Humanoid Sensing and Perception
Carlo Alessi Post Doc Humanoid Sensing and Perception
Sofia Faraci Technician Humanoid Sensing and Perception
Federico Mustich Guest Student Humanoid Sensing and Perception
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