20 citations · 109 across the 21 of their papers we have counts for
23 papers
From Tabletop to Walking Bot: Deploying a VLA Model on a Legged Manipulator Robot
Giovanni Minelli, Antonio Langella, Giovanni B. Dessy +4
Vision-language-action (VLA) models are typically pretrained on broad, diverse datasets and subsequently fine-tuned on a comparatively small dataset tailored to a specific target r…
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…
Mixture-of-Experts RL for Fault-Tolerant Legged Locomotion
Giulio Turrisi, Ozan Pali, Luca Oneto +1
Legged robots deployed in planetary exploration and other remote environments must maintain reliable locomotion despite actuator failures and challenging terrain conditions. Althou…
Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation
Max Siebenborn, Daniel Ordoñez Apraez, Sophie Lueth +4
Mobile manipulation requires coordinated control of high-dimensional, bimanual robots. Imitation learning methods have been broadly used to solve these robotic tasks, yet typically…
BinWalker: Development and Field Evaluation of a Quadruped Manipulator Platform for Sustainable Litter Collection
Giulio Turrisi, Angelo Bratta, Giovanni Minelli +4
Litter pollution represents a growing environmental problem affecting natural and urban ecosystems worldwide. Waste discarded in public spaces often accumulates in areas that are d…
Proprioceptive Image: An Image Representation of Proprioceptive Data from Quadruped Robots for Contact Estimation Learning
Gabriel Fischer Abati, João Carlos Virgolino Soares, Giulio Turrisi +2
This paper presents a novel approach for representing proprioceptive time-series data from quadruped robots as structured two-dimensional images, enabling the use of convolutional…
CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
Giovanni Minelli, Giulio Turrisi, Victor Barasuol +1
Learning robotic manipulation policies through supervised learning from demonstrations remains challenging when policies encounter execution variations not explicitly covered durin…
BC-MPPI: A Probabilistic Constraint Layer for Safe Model-Predictive Path-Integral Control
Odichimnma Ezeji, Michael Ziegltrum, Giulio Turrisi +2
Model Predictive Path Integral (MPPI) control has recently emerged as a fast, gradient-free alternative to model-predictive control in highly non-linear robotic tasks, yet it offer…
Guided Reinforcement Learning for Omnidirectional 3D Jumping in Quadruped Robots
Riccardo Bussola, Michele Focchi, Giulio Turrisi +2
Jumping poses a significant challenge for quadruped robots, despite being crucial for many operational scenarios. While optimisation methods exist for controlling such motions, the…
Feedback-MPPI: Fast Sampling-Based MPC via Rollout Differentiation -- Adios low-level controllers
Tommaso Belvedere, Michael Ziegltrum, Giulio Turrisi +1
Model Predictive Path Integral control is a powerful sampling-based approach suitable for complex robotic tasks due to its flexibility in handling nonlinear dynamics and non-convex…
Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged Robots
Lorenzo Amatucci, João Sousa-Pinto, Giulio Turrisi +3
This paper introduces a novel Model Predictive Control (MPC) implementation for legged robot locomotion that leverages GPU parallelization. Our approach enables both temporal and s…
On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics
Giulio Turrisi, Marco Capotondi, Claudio Gaz +3
We present an iterative approach for planning and controlling motions of underactuated robots with uncertain dynamics. At its core, there is a learning process which estimates the…
Adaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots
Mohamed Elobaid, Giulio Turrisi, Lorenzo Rapetti +7
Nonlinear model predictive locomotion controllers based on the reduced centroidal dynamics are nowadays ubiquitous in legged robots. These schemes, even if they assume an inherent…
Non-Gaited Legged Locomotion with Monte-Carlo Tree Search and Supervised Learning
Ilyass Taouil, Lorenzo Amatucci, Majid Khadiv +4
Legged robots are able to navigate complex terrains by continuously interacting with the environment through careful selection of contact sequences and timings. However, the combin…
PACC: A Passive-Arm Approach for High-Payload Collaborative Carrying with Quadruped Robots Using Model Predictive Control
Giulio Turrisi, Lucas Schulze, Vivian S. Medeiros +2
In this paper, we introduce the concept of using passive arm structures with intrinsic impedance for robot-robot and human-robot collaborative carrying with quadruped robots. The c…
Leveraging Symmetry in RL-based Legged Locomotion Control
Zhi Su, Xiaoyu Huang, Daniel Ordoñez-Apraez +8
Model-free reinforcement learning is a promising approach for autonomously solving challenging robotics control problems, but faces exploration difficulty without information of th…
Accelerating Model Predictive Control for Legged Robots through Distributed Optimization
Lorenzo Amatucci, Giulio Turrisi, Angelo Bratta +2
This paper presents a novel approach to enhance Model Predictive Control (MPC) for legged robots through Distributed Optimization. Our method focuses on decomposing the robot dynam…
On the Benefits of GPU Sample-Based Stochastic Predictive Controllers for Legged Locomotion
Giulio Turrisi, Valerio Modugno, Lorenzo Amatucci +2
Quadrupedal robots excel in mobility, navigating complex terrains with agility. However, their complex control systems present challenges that are still far from being fully addres…
Morphological Symmetries in Robotics
Daniel Ordoñez-Apraez, Giulio Turrisi, Vladimir Kostic +6
We present a comprehensive framework for studying and leveraging morphological symmetries in robotic systems. These are intrinsic properties of the robot's morphology, frequently o…
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
Daniel Ordoñez-Apraez, Vladimir Kostic, Giulio Turrisi +4
We introduce the use of harmonic analysis to decompose the state space of symmetric robotic systems into orthogonal isotypic subspaces. These are lower-dimensional spaces that capt…
Fast Convex Visual Foothold Adaptation for Quadrupedal Locomotion
Shafeef Omar, Lorenzo Amatucci, Giulio Turrisi +2
This extended abstract provides a short introduction on our recently developed perception-based controller for quadrupedal locomotion. Compared to our previous approach based on Vi…
SafeSteps: Learning Safer Footstep Planning Policies for Legged Robots via Model-Based Priors
Shafeef Omar, Lorenzo Amatucci, Victor Barasuol +2
We present a footstep planning policy for quadrupedal locomotion that is able to directly take into consideration a-priori safety information in its decisions. At its core, a learn…
Quadrupedal Footstep Planning using Learned Motion Models of a Black-Box Controller
Ilyass Taouil, Giulio Turrisi, Daniel Schleich +3
Legged robots are increasingly entering new domains and applications, including search and rescue, inspection, and logistics. However, for such systems to be valuable in real-world…