65 citations · 188 across the 23 of their papers we have counts for
7 papers · 1 filter
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…
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques
Carlotta Sartore, Marco Rando, Giulio Romualdi +3
Developing sophisticated control architectures has endowed robots, particularly humanoid robots, with numerous capabilities. However, tuning these architectures remains a challengi…
Remote telepresence over large distances via robot avatars: case studies
Mohamed Elobaid, Stefano Dafarra, Ehsan Ranjbari +5
This paper discusses the necessary considerations and adjustments that allow a recently proposed avatar system architecture to be used with different robotic avatar morphologies (b…
Adaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots
Mohamed Elobaid, Giulio Turrisi, Lorenzo Rapetti +7
Nonlinear model predictive locomotion controllers based on the reduced centroidal dynamics are nowadays ubiquitous in legged robots. These schemes, even if they assume an inherent…
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…
UKF-Based Sensor Fusion for Joint-Torque Sensorless Humanoid Robots
Ines Sorrentino, Giulio Romualdi, Daniele Pucci
This paper proposes a novel sensor fusion based on Unscented Kalman Filtering for the online estimation of joint-torques of humanoid robots without joint-torque sensors. At the fea…