4 citations · 11 across the 7 of their papers we have counts for
7 papers
Learning Fault-Tolerant Locomotion with Adaptive Gait Timing
Giovanbattista Gravina, Luca Rossini, Carlo Rizzardo +2
Hardware failures require legged robots to rapidly reorganize coordination and gait timing to maintain stability and mobility. This is particularly challenging for larger quadruped…
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…
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…
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…
Soft Adaptive Feet for Legged Robots: An Open-Source Model for Locomotion Simulation
Matteo Crotti, Luca Rossini, Balint K. Hodossy +4
In recent years, artificial feet based on soft robotics and under-actuation principles emerged to improve mobility on challenging terrains. This paper presents the application of t…
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…
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…