Francesco Semeraro

14 papers A* 1A 2B 2C 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Do Technological Prototypes in the Food Industry Impact People's Perception? Insights from the MUSAE "GROW, COOK, CODE" Final Exhibition.
CoRR
Francesco Semeraro, Filip Becanovic, Maja Trumic, Kosta Jovanovic, Angelo Cangelosi
2025 B conf
Robustness to Object Occlusions in Human-Robot Collaborative Assembly Using Compact Prediction Trees.
RO-MAN
Francesco Semeraro, Giovanni Pilato, Angelo Cangelosi
2025 A* conf
TriHRCBot: A Robotic Architecture for Triadic Human-Robot Collaboration Through Mediated Object Alignment.
ICRA
Francesco Semeraro, James Leadbetter, Angelo Cangelosi
2024 — conf
Computational Trust in Robotics: Preliminary Investigations and Evidence.
HHAI Workshops
Francesco Semeraro, Marta Romeo, Angelo Cangelosi, Samuele Vinanzi
2024 A conf
Good Things Come in Threes: The Impact of Robot Responsiveness on Workload and Trust in Multi-User Human-Robot Collaboration.
IROS
Francesco Semeraro, Jon Carberry, James Leadbetter, Angelo Cangelosi
2023 J jnl
Human-robot collaboration and machine learning: A systematic review of recent research.
Robotics Comput. Integr. Manuf.
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
2023 A conf
Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks.
AAMAS
Francesco Semeraro, Jon Carberry, Angelo Cangelosi
2023 B conf
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications.
IJCNN
Francesco Semeraro, Jon Carberry, Angelo Cangelosi
2023 J jnl
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications.
CoRR
Francesco Semeraro, Jon Carberry, Angelo Cangelosi
2021 J jnl
Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research.
CoRR
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
2021 J jnl
Mood classification through physiological parameters.
J. Ambient Intell. Humaniz. Comput.
Filippo Cavallo, Francesco Semeraro, Gianmaria Mancioppi, Stefano Betti, Laura Fiorini
2020 J jnl
Unsupervised emotional state classification through physiological parameters for social robotics applications.
Knowl. Based Syst.
Laura Fiorini, Gianmaria Mancioppi, Francesco Semeraro, Hamido Fujita, Filippo Cavallo
2018 C conf
Physiological Sensor System for the Detection of Human Moods Towards Internet of Robotic Things Applications.
SoMeT
Laura Fiorini, Francesco Semeraro, Gianmaria Mancioppi, Stefano Betti, Luca Santarelli, Filippo Cavallo
2018 — conf
Physiological Wireless Sensor Network for the Detection of Human Moods to Enhance Human-Robot Interaction.
ForItAAL
Francesco Semeraro, Laura Fiorini, Stefano Betti, Gianmaria Mancioppi, Luca Santarelli, Filippo Cavallo