Fabio Amadio

Bio

Fabio Amadio is currently a Research Engineer with Inria Nancy Grand-Est, Villers-lès-Nancy, France. His research interests include robot control and motion learning and human-robot interaction.

He received the M.Sc. degree in automatic control and robotics from the Technical University of Catalonia (UPC), Barcelona, Spain, in 2018, and the M.Sc. degree in control engineering and the Ph.D. degree in information engineering from the University of Padova, Padua, Italy, in 2018 and 2022, respectively.

From 2021 to 2023, he was a Research Fellow with Leonardo Labs and the Human-Robot Interfaces and Interaction (HRII) Laboratory, Istituto Italiano di Tecnologia, Genoa, Italy. From 2023 to 2024, he was a Research Scientist with the ABB Corporate Research Center, Västerås, Sweden.

Research Interests

Reinforcement Learning
Learning from Demonstration
Robot Control

In Brief

Project: PEPR O2R “Robotique Organique” – AS3 “Decision, Learning and Social Interaction”
Supervisors: Dr. Serena Ivaldi
Funding: PEPR-O2R

Publications

Publications HAL

2025

Conference papers

titre
What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
auteur
Julien Wacquez, Elisabetta Zibetti, Joffrey Becker, Lorenzo Aloe, Fabio Amadio, Salvatore Anzalone, Lola Cañamero, Serena Ivaldi
article
18th International Workshop on Human-Friendly Robotics 2025, HFR 2025, Università degli Studi di Napoli Federico II, Jun 2025, Capri Island, Italy
Accès au texte intégral et bibtex
https://hal.science/hal-05157054/file/HFR2025_ACCEPTED%20VERSION_ref_v3.pdf BibTex

Patents

titre
Method and device for speech-supplemented kinesthetic robot programming
auteur
Sebastian Zudaire, Fabio Amadio
article
France, Patent n° : WO2025140777A1. 2025
Accès au bibtex
BibTex
titre
Innovative handling of objects to be extracted/loaded from/onto an automated object transport and/or sorting system
auteur
Briano Andrea, Akhras M. Alì, Raiano Luigi, Zunino Andrea, Rollo Federico, Fabio Amadio
article
Italy, Patent n° : WO2025008760A1. 2025
Accès au bibtex
BibTex

Preprints, Working Papers, …

titre
Learning to Walk with Hybrid Serial-Parallel Linkages: a Case Study on the Kangaroo Robot
auteur
Fabio Amadio, Hongbo Li, Lorenzo Uttini, Serena Ivaldi, Valerio Modugno, Enrico Mingo Hoffman
article
2025
Accès au texte intégral et bibtex
https://hal.science/hal-05072198/file/RL_for_closed_kinematic_chain_with_Kangaroo.pdf BibTex

2024

Conference papers

titre
Variable Impedance Control Combining Reinforcement Learning and Gaussian Process Regression
auteur
Paolino de Risi, Fabio Amadio, Gianluca Garofalo, Fanny Ficuciello, Pietro Falco
article
Humanoids 2024 – IEEE-RAS 23rd International Conference on Humanoid Robots, Nov 2024, Nancy, France. pp.343 – 350, ⟨10.1109/humanoids58906.2024.10769856⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05036167/file/ieeeconf_humanoids_final_document.pdf BibTex

Preprints, Working Papers, …

titre
From Vocal Instructions to Household Tasks: The Inria Tiago++ in the euROBIN Service Robots Coopetition
auteur
Fabio Amadio, Clemente Donoso Krauss, Dionis Totsila, Raphael Lorenzo, Quentin Rouxel, Olivier Rochel, Enrico Mingo Hoffman, Jean-Baptiste Mouret, Serena Ivaldi
article
2024
Accès au texte intégral et bibtex
https://hal.science/hal-04868440/file/RAP_euRobin_paper.pdf BibTex

2023

Journal articles

titre
Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation
auteur
Fabio Amadio, Juan Antonio Delgado-Guerrero, Adrià Colomé, Carme Torras
article
International Journal of Dynamics and Control, 2023
Accès au texte intégral et bibtex
https://hal.science/hal-05037947/file/IJDC___CGPDM.pdf BibTex

Conference papers

titre
FollowMe: a Robust Person Following Framework Based on Visual Re-Identification and Gestures
auteur
Federico Rollo, Andrea Zunino, Gennaro Raiola, Fabio Amadio, Arash Ajoudani, Nikolaos Tsagarakis
article
2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), Jun 2023, Berlin, Germany. pp.84-89, ⟨10.1109/ARSO56563.2023.10187536⟩
Accès au texte intégral et bibtex
https://hal.science/hal-04298949/file/ARSO_2023___FollowMe___Final.pdf BibTex
titre
Learning Control from Raw Position Measurements
auteur
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
article
2023 American Control Conference (ACC), May 2023, San Diego, France. pp.2171-2178, ⟨10.23919/acc55779.2023.10156063⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05037961/file/ACC2023___VFMCPILCO__arXiv_.pdf BibTex

2022

Journal articles

titre
Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application
auteur
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
article
IEEE Transactions on Robotics, 2022, 38 (6), pp.3879-3898. ⟨10.1109/tro.2022.3184837⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05037945/file/MCPILCO_TRO_Rebuttal.pdf BibTex
titre
A Target-Guided Telemanipulation Architecture for Assisted Grasping
auteur
Marco Laghi, Luigi Raiano, Fabio Amadio, Federico Rollo, Andrea Zunino, Arash Ajoudani
article
IEEE Robotics and Automation Letters, 2022, 7 (4), pp.8759-8766. ⟨10.1109/lra.2022.3188436⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05037953/file/IROS_2022_Guided_Grasping_REVIEW2.pdf BibTex

Conference papers

titre
Target-Referred DMPs for Learning Bimanual Tasks from Shared-Autonomy Telemanipulation
auteur
Fabio Amadio, Marco Laghi, Luigi Raiano, Federico Rollo, Andrea Zunino, Gennaro Raiola, Arash Ajoudani
article
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), Nov 2022, Ginowan, France. pp.496-503, ⟨10.1109/humanoids53995.2022.10000233⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05037957/file/HUMANOIDS_2022___Bimanual_LfD.pdf BibTex

Patents

titre
Method and system for modelling and control partially measurable systems
auteur
Romeres Diego, Amadio Fabio, Fabio Amadio, Libera Alberto Dalla, Antonello Riccardo, Carli Ruggero, Nikovski Daniel
article
United States, Patent n° : WO2022118498A1. 2022
Accès au bibtex
BibTex

2021

Conference papers

titre
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
auteur
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
article
2021 European Control Conference (ECC), Jun 2021, Delft, France. pp.243-248, ⟨10.23919/ecc54610.2021.9654429⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05037967/file/2020_ECC_GP_feedback_lin.pdf BibTex

2019

Journal articles

titre
Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks
auteur
Fabio Amadio, Adrià Colomé, Carme Torras
article
IEEE Robotics and Automation Letters, 2019, 4 (2), pp.1838-1845. ⟨10.1109/lra.2019.2898330⟩
Accès au texte intégral et bibtex
https://hal.science/hal-05037949/file/Symmetric_Learning_Paper.pdf BibTex