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20232026
most citedAdaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots

20 citations · 52 across the 14 of their papers we have counts for

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Showing 2024 · cs.ROShow all

6 papers · 2 filters

cs.RO2024★ 8 cited

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…

cs.RO2024

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…

cs.RO2024★ 2 cited

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…

cs.RO2024★ 20 cited

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…

cs.RO2024

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…

cs.RO2024★ 6 cited

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…