65 citations · 398 across the 34 of their papers we have counts for
4 papers · 2 filters
Physics-Informed Learning for the Friction Modeling of High-Ratio Harmonic Drives
Ines Sorrentino, Giulio Romualdi, Fabio Bergonti +3
This paper presents a scalable method for friction identification in robots equipped with electric motors and high-ratio harmonic drives, utilizing Physics-Informed Neural Networks…
Online DNN-driven Nonlinear MPC for Stylistic Humanoid Robot Walking with Step Adjustment
Giulio Romualdi, Paolo Maria Viceconte, Lorenzo Moretti +4
This paper presents a three-layered architecture that enables stylistic locomotion with online contact location adjustment. Our method combines an autoregressive Deep Neural Networ…
XBG: End-to-end Imitation Learning for Autonomous Behaviour in Human-Robot Interaction and Collaboration
Carlos Cardenas-Perez, Giulio Romualdi, Mohamed Elobaid +6
This paper presents XBG (eXteroceptive Behaviour Generation), a multimodal end-to-end Imitation Learning (IL) system for a whole-body autonomous humanoid robot used in real-world H…
A Flexible MATLAB/Simulink Simulator for Robotic Floating-base Systems in Contact with the Ground: Theoretical background and Implementation Details
Nuno Guedelha, Venus Pasandi, Giuseppe L'Erario +2
This paper presents an open-source MATLAB/Simulink physics simulator for rigid-body articulated systems, including manipulators and floating-base robots. Thanks to MATLAB/Simulink…