most citedLearning Aerodynamics for the Control of Flying Humanoid Robots

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

A Framework for Optimal Ankle Design of Humanoid Robots

Guglielmo Cervettini, Roberto Mauceri, Alex Coppola +4

The design of the humanoid ankle is critical for safe and efficient ground interaction. Key factors such as mechanical compliance and motor mass distribution have driven the adopti…

cs.RO2025

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…

cs.RO20253 cited

Learning Aerodynamics for the Control of Flying Humanoid Robots

Antonello Paolino, Gabriele Nava, Fabio Di Natale +8

Robots with multi-modal locomotion are an active research field due to their versatility in diverse environments. In this context, additional actuation can provide humanoid robots…

cs.RO2025

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…

cs.RO2025

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…