activity
20222026
most citedDesign and Validation of a Multi-Arm Relocatable Manipulator for Space Applications

4 citations · 10 across the 13 of their papers we have counts for

collaborators

13 papers

cs.RO2026

KYON: Semi-Modular Wheel-Legged Quadruped With Agile Bimanual Capability

Luca Rossini, Arturo Laurenzi, Francesco Ruscelli +8

This paper presents KYON, a hybrid wheel-legged quadruped robot equipped with a bimanual upper body for loco-manipulation tasks. The platform features a semi-modular design with a…

cs.LG2026

Cartan flow matching

Francesco Ruscelli, Ferdinando Zanchetta, Rita Fioresi

We introduce Cartan flow matching, a general framework for training flow matching models on Riemannian symmetric spaces, i.e. Riemannian manifolds with the property that at any poi…

cs.LG2026

Flow matching on homogeneous spaces

Francesco Ruscelli

We propose a general framework to extend Flow Matching to homogeneous spaces, i.e. quotients of Lie groups. Our approach reformulates the problem as a flow matching task on the und…

cs.RO2026★ 1 cited

RL-Augmented MPC for Non-Gaited Legged and Hybrid Locomotion

Andrea Patrizi, Carlo Rizzardo, Arturo Laurenzi +3

We propose a contact-explicit hierarchical architecture coupling Reinforcement Learning (RL) and Model Predictive Control (MPC), where a high-level RL agent provides gait and navig…

math.DG2025

On Mañé's Critical Value for Tonelli Lagrangians on Half Lie-Groups

Levin Maier, Francesco Ruscelli

In this article, we introduce Tonelli Lagrangians on half-Lie groups equipped with a strong right-invariant Riemannian metric. These are right-invariant Lagrangians defined on the…

math.SG2025

The Hopf--Rinow Theorem and Mañé's Critical Value for Magnetic Geodesics on Half Lie-Groups

Levin Maier, Francesco Ruscelli

In this article, we investigate \emph{right-invariant magnetic systems} on half-Lie groups, which consist of a strong right-invariant Riemannian metric and a right-invariant closed…

math.DS2025

Pre-Lagrangian tori transverse to an Anosov flow

Francesco Ruscelli

An Anosov flow on a smooth three-manifold gives rise to a Liouville structure on by a construction of Mitsumatsu. In a recent paper, Cieliebak, Lazarev, M…

cs.RO2025★ 3 cited

CONCERT: a Modular Reconfigurable Robot for Construction

Luca Rossini, Edoardo Romiti, Arturo Laurenzi +16

This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on-site operations in a construction site. CONCERT has been designed to support…

cs.RO2024★ 1 cited

HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation

Jin Wang, Rui Dai, Weijie Wang +3

Enabling robots to autonomously perform hybrid motions in diverse environments can be beneficial for long-horizon tasks such as material handling, household chores, and work assist…

math.SG2023

Combinatorics of linear stability for Hamiltonian systems in arbitrary dimension

Agustin Moreno, Francesco Ruscelli

We address the general problem of studying linear stability and bifurcations of periodic orbits for Hamiltonian systems of arbitrary degrees of freedom. We study the topology of th…

cs.RO2023★ 4 cited

Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications

Enrico Mingo Hoffman, Arturo Laurenzi, Francesco Ruscelli +13

This work presents the computational design and validation of the Multi-Arm Relocatable Manipulator (MARM), a three-limb robot for space applications, with particular reference to…

cs.RO2022

Prototyping fast and agile motions for legged robots with Horizon

Francesco Ruscelli, Arturo Laurenzi, Nikos G. Tsagarakis +1

For legged robots to perform agile, highly dynamic and contact-rich motions, whole-body trajectories computation of under-actuated complex systems subject to non-linear dynamics is…

cs.RO2022★ 1 cited

Loco-Manipulation Planning for Legged Robots: Offline and Online Strategies

Luca Rossini, Paolo Ferrari, Francesco Ruscelli +3

The deployment of robots within realistic environments requires the capability to plan and refine the loco-manipulation trajectories on the fly to avoid unexpected interactions wit…