works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
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11 papers

cs.RO2026

SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning

Evelyn D'Elia, Weishu Zhan, Giulio Turrisi +5

The paper presents SKooP, a method that integrates morphological symmetries and a learned Koopman model via an autoencoder to provide privileged observations for reinforcement lear…

cs.RO2026

Towards Shared Embodied Intelligence in Humanoid Robots through Optimization Development and Testing of the Human Aware ergoCub Robot

Carlotta Sartore, Mohamed Elobaid, Lorenzo Rapetti +13

Collaboration is central to human behavior, enabling tasks beyond individual capability. This ability arises from coordinating actions through internal representations of others, a…

cs.LG2025

Physics-Informed Learning for Human Whole-Body Kinematics Prediction via Sparse IMUs

Cheng Guo, Giuseppe L'Erario, Giulio Romualdi +4

Accurate and physically feasible human motion prediction is crucial for safe and seamless human-robot collaboration. While recent advancements in human motion capture enable real-t…

cs.RO2025

Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering

Evelyn D'Elia, Paolo Maria Viceconte, Lorenzo Rapetti +5

Recent trends in humanoid robot control have successfully employed imitation learning to enable the learned generation of smooth, human-like trajectories from human data. While the…

cs.RO2025

Physics-Informed Neural Networks with Unscented Kalman Filter for Sensorless Joint Torque Estimation in Humanoid Robots

Ines Sorrentino, Giulio Romualdi, Lorenzo Moretti +2

This paper presents a novel framework for whole-body torque control of humanoid robots without joint torque sensors, designed for systems with electric motors and high-ratio harmon…

cs.RO2025

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…