activity
20192025
most citedModeling, Identification and Control of Model Jet Engines for Jet Powered Robotics

28 citations · 80 across the 14 of their papers we have counts for

collaborators

14 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.RO2025★ 3 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.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

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…

cs.RO2023

Codesign of Humanoid Robots for Ergonomy Collaboration with Multiple Humans via Genetic Algorithms and Nonlinear Optimization

Carlotta Sartore, Lorenzo Rapetti, Fabio Bergonti +3

Ergonomics is a key factor to consider when designing control architectures for effective physical collaborations between humans and humanoid robots. In contrast, ergonomic indexes…

cs.RO2023★ 21 cited

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,…

cs.RO2022★ 9 cited

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…

cs.RO2022★ 6 cited

Torque and velocity controllers to perform jumps with a humanoid robot: theory and implementation on the iCub robot

Fabio Bergonti, Luca Fiorio, Daniele Pucci

Jumping can be an effective way of locomotion to overcome small terrain gaps or obstacles. In this paper we propose two different approaches to perform jumps with a humanoid robot.…

cs.RO2022★ 5 cited

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…

cs.RO2022

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…

cs.RO2022

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…

cs.RO2019★ 28 cited

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…