28 citations · 70 across the 19 of their papers we have counts for
19 papers
SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning
Evelyn D'Elia, Weishu Zhan, Giulio Turrisi +5
Reinforcement learning (RL) algorithms classically suffer from poor sample efficiency. In robotics, a recent line of work has emerged addressing this problem by encoding physics pr…
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…
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…
CAD-Driven Co-Design for Flight-Ready Jet-Powered Humanoids
Punith Reddy Vanteddu, Davide Gorbani, Giuseppe L'Erario +3
This paper presents a CAD-driven co-design framework for optimizing jet-powered aerial humanoid robots to execute dynamically constrained trajectories. Starting from the iRonCub-Mk…
Data-fused MPC with Guarantees: Application to Flying Humanoid Robots
Davide Gorbani, Mohamed Elobaid, Giuseppe L'Erario +2
This paper introduces a Data-Fused Model Predictive Control (DFMPC) framework that combines physics-based models with data-driven representations of unknown dynamics. Leveraging Wi…
iRonCub 3: The Jet-Powered Flying Humanoid Robot
Davide Gorbani, Hosameldin Awadalla Omer Mohamed, Giuseppe L'Erario +11
This article presents iRonCub 3, a jet-powered humanoid robot, and its first flight experiments. Unlike traditional aerial vehicles, iRonCub 3 aims to achieve flight using a full-b…
Unified Multi-Rate Model Predictive Control for a Jet-Powered Humanoid Robot
Davide Gorbani, Giuseppe L'Erario, Hosameldin Awadalla Omer Mohamed +1
We propose a novel Model Predictive Control (MPC) framework for a jet-powered flying humanoid robot. The controller is based on a linearised centroidal momentum model to represent…
From CAD to URDF: Co-Design of a Jet-Powered Humanoid Robot Including CAD Geometry
Punith Reddy Vanteddu, Gabriele Nava, Fabio Bergonti +3
Co-design optimization strategies usually rely on simplified robot models extracted from CAD. While these models are useful for optimizing geometrical and inertial parameters for r…
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…
Co-Design Optimisation of Morphing Topology and Control of Winged Drones
Fabio Bergonti, Gabriele Nava, Valentin Wüest +4
The design and control of winged aircraft and drones is an iterative process aimed at identifying a compromise of mission-specific costs and constraints. When agility is required,…
Learning to Walk and Fly with Adversarial Motion Priors
Giuseppe L'Erario, Drew Hanover, Angel Romero +5
Robot multimodal locomotion encompasses the ability to transition between walking and flying, representing a significant challenge in robotics. This work presents an approach that…
Whole-Body Trajectory Optimization for Robot Multimodal Locomotion
Giuseppe L'Erario, Gabriele Nava, Giulio Romualdi +4
The general problem of planning feasible trajectories for multimodal robots is still an open challenge. This paper presents a whole-body trajectory optimisation approach that addre…
A Flexible MATLAB/Simulink Simulator for Robotic Floating-base Systems in Contact with the Ground
Nuno Guedelha, Venus Pasandi, Giuseppe L'Erario +2
Physics simulators are widely used in robotics fields, from mechanical design to dynamic simulation, and controller design. This paper presents an open-source MATLAB/Simulink simul…
Modeling and Control of Morphing Covers for the Adaptive Morphology of Humanoid Robots
Fabio Bergonti, Gabriele Nava, Luca Fiorio +2
This article takes a step to provide humanoid robots with adaptive morphology abilities. We present a systematic approach for enabling robotic covers to morph their shape, with an…
Nonlinear Model Identification and Observer Design for Thrust Estimation of Small-scale Turbojet Engines
Affaf Junaid Ahamad Momin, Gabriele Nava, Giuseppe LErario +5
Jet-powered vertical takeoff and landing (VTOL) drones require precise thrust estimation to ensure adequate stability margins and robust maneuvering. Small-scale turbojets have bec…
Centroidal Aerodynamic Modeling and Control of Flying Multibody Robots
Tong Hui, Antonello Paolino, Gabriele Nava +5
This paper presents a modeling and control framework for multibody flying robots subject to non-negligible aerodynamic forces acting on the centroidal dynamics. First, aerodynamic…
Online Non-linear Centroidal MPC for Humanoid Robot Locomotion with Step Adjustment
Giulio Romualdi, Stefano Dafarra, Giuseppe L'Erario +3
This paper presents a Non-Linear Model Predictive Controller for humanoid robot locomotion with online step adjustment capabilities. The proposed controller considers the Centroida…
Modeling, Identification and Control of Model Jet Engines for Jet Powered Robotics
Giuseppe L'Erario, Luca Fiorio, Gabriele Nava +5
The paper contributes towards the modeling, identification, and control of model jet engines. We propose a nonlinear, second order model in order to capture the model jet engines g…