Fabio Amadio

Research Fellow
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  • Publications
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  • Fabio Amadio is a research fellow at the Intelligent Autonomous Systems Leonardo - IIT Joint Lab, within the Robotics for Manufacturing group. He received the MSc. in Automation Engineering from the University of Padova (Padua, Italy), and the MSc. in Automatic Control and Robotics from the School of Industrial Engineering of Barcelona (Barcelona, Spain), both in 2018, through the T.I.M.E. (Top International Managers in Engineering) double degree program. He pursued the Ph.D. in Information Engineering at the University of Padova, from 2018 to 2021. His research interests include robotics, machine learning, reinforcement learning, and system identification.

  • Unmanned & Robotics

  • Fabio Amadio, Adrià Colomé and Carme Torras, “Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks”. IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 4, NO. 2, PP. 1838-1845, APRIL 2019.

  • Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski and Diego Romeres, “Model-Based Policy Search for Partially Measurable Systems”. NEURIPS 2020: 3RD ROBOT LEARNING WORKSHOP, DECEMBER 2020.

    Alberto Dalla Libera, Fabio Amadio, Ruggero Carli and Diego Romeres, “Feedback Linearization Robot Control based on Gaussian Process Inverse Dynamics Model”. 2020 I-RIM CONFERENCE, PP.119-121, DECEMBER 2020.

    Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli and Diego Romeres, “Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models”. ECC21, EUROPEAN CONTROL CONFERENCE, JUNE 2021.