Matteo Saveriano

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 87

Top Topics

Reinforcement Learning

Dynamical Systems

Invariant Representation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel
Learning periodic skills for robotic manipulation: Insights on orientation and impedance. Robotics Auton. Syst. 180 (2024)
Luca Beber, Edoardo Lamon, Luigi Palopoli, Luca Fambri, Matteo Saveriano, Daniele Fontanelli
Elasticity Measurements of Expanded Foams Using a Collaborative Robotic Arm. I2MTC (2024)
Youssef Michel, Matteo Saveriano, Dongheui Lee
A Novel Safety-Aware Energy Tank Formulation Based on Control Barrier Functions. IEEE Robotics Autom. Lett. 9 (6) (2024)
Zheng Shen, Matteo Saveriano, Fares J. Abu-Dakka, Sami Haddadin
Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions. CoRR (2024)
Luca Beber, Edoardo Lamon, Davide Nardi, Daniele Fontanelli, Matteo Saveriano, Luigi Palopoli
A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography. ICRA (2024)
Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. CoRR (2024)
Luca Beber, Edoardo Lamon, Giacomo Moretti, Daniele Fontanelli, Matteo Saveriano, Luigi Palopoli
Towards Robotised Palpation for Cancer Detection through Online Tissue Viscoelastic Characterisation with a Collaborative Robotic Arm. CoRR (2024)
Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete
Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set. ICRA (2024)
Zheng Shen, Matteo Saveriano, Fares J. Abu-Dakka, Sami Haddadin
Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions. ICRA (2024)
Philipp Braun, Abhishek Bhardwaj, Mirko Brentari, Luca Zaccarian, Matteo Saveriano
Static anti-windup with shifted equilibria applied to a Segway-like vehicle. Autom. 169 (2024)
Cristian Axenie, Matteo Saveriano
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. CoRR (2023)
Matteo Saveriano, Fares J. Abu-Dakka, Ville Kyrki
Learning stable robotic skills on Riemannian manifolds. Robotics Auton. Syst. 169 (2023)
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control. IEEE Robotics Autom. Lett. 8 (11) (2023)
Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano
Learning and extrapolation of robotic skills using task-parameterized equation learner networks. Robotics Auton. Syst. 160 (2023)
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control. CoRR (2023)
Luca Beber, Edoardo Lamon, Luigi Palopoli, Luca Fambri, Matteo Saveriano, Daniele Fontanelli
Elasticity Measurements of Expanded Foams using a Collaborative Robotic Arm. CoRR (2023)
Youssef Michel, Matteo Saveriano, Fares J. Abu-Dakka, Dongheui Lee
Orientation Control with Variable Stiffness Dynamical Systems. CoRR (2023)
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR (2023)
Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete
Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set. CoRR (2023)
Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel
Dynamic movement primitives in robotics: A tutorial survey. Int. J. Robotics Res. 42 (13) (2023)
Youssef Michel, Matteo Saveriano, Dongheui Lee
A Passivity-based Approach for Variable Stiffness Control with Dynamical Systems. CoRR (2023)
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation. ICRA (2023)
Youssef Michel, Matteo Saveriano, Fares J. Abu-Dakka, Dongheui Lee
Orientation Control with Variable Stiffness Dynamical Systems. IROS (2023)
Rocco Felici, Matteo Saveriano, Loris Roveda, Antonio Paolillo
Imitation Learning-based Visual Servoing for Tracking Moving Objects. CoRR (2023)
Cristian Axenie, Matteo Saveriano
Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility. IEEE Access 11 (2023)
Rocco Felici, Matteo Saveriano, Loris Roveda, Antonio Paolillo
Imitation Learning-Based Visual Servoing for Tracking Moving Objects. HFR (2023)
Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills. CoRR (2023)
Naseem Alhousani, Matteo Saveriano, Ibrahim Sevinc, Talha Abdulkuddus, Hatice Kose, Fares J. Abu-Dakka
Geometric Reinforcement Learning for Robotic Manipulation. IEEE Access 11 (2023)
Luca Beber, Edoardo Lamon, Davide Nardi, Daniele Fontanelli, Matteo Saveriano, Luigi Palopoli
A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography. CoRR (2023)
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Continual learning from demonstration of robotics skills. Robotics Auton. Syst. 165 (2023)
Naseem Alhousani, Matteo Saveriano, Ibrahim Sevinc, Talha Abdulkuddus, Hatice Kose, Fares J. Abu-Dakka
Geometric Reinforcement Learning: The Case of Cartesian Space Orientation. CoRR (2022)
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. 2022 (2022)
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Rodríguez-Sánchez, Justus H. Piater
Continual Learning from Demonstration of Robotic Skills. CoRR (2022)
Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
Affordance detection with Dynamic-Tree Capsule Networks. Humanoids (2022)
Fares J. Abu-Dakka, Matteo Saveriano, Meghan E. Huber, Thiago Boaventura
Editorial Variable Impedance Control and Learning in Complex Interaction Scenarios: Challenges and Opportunities. IEEE Robotics Autom. Lett. 7 (4) (2022)
Antonio Paolillo, Matteo Saveriano
Learning Stable Dynamical Systems for Visual Servoing. CoRR (2022)
Gennaro Notomista, Matteo Saveriano
Safety of Dynamical Systems With Multiple Non-Convex Unsafe Sets Using Control Barrier Functions. IEEE Control. Syst. Lett. 6 (2022)
Matteo Saveriano, Fares J. Abu-Dakka, Ville Kyrki
Learning Stable Robotic Skills on Riemannian Manifolds. CoRR (2022)
Antonio Paolillo, Matteo Saveriano
Learning Stable Dynamical Systems for Visual Servoing. ICRA (2022)
Weitao Wang, Matteo Saveriano, Fares J. Abu-Dakka
Learning Deep Robotic Skills on Riemannian Manifolds. IEEE Access 10 (2022)
Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
Affordance detection with Dynamic-Tree Capsule Networks. CoRR (2022)
Leif Johannsen, Karna Potwar, Matteo Saveriano, Satoshi Endo, Dongheui Lee
Robotic Light Touch Assists Human Balance Control During Maximum Forward Reaching. Hum. Factors 64 (3) (2022)
Jacopo Aleotti, Matteo Saveriano, Riccardo Monica
Editorial: Learning, Perception, and Collaboration for Robots in Industrial Environments. Frontiers Robotics AI 9 (2022)
Hector Villeda, Justus H. Piater, Matteo Saveriano
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks. CoRR (2022)
Weitao Wang, Matteo Saveriano, Fares J. Abu-Dakka
Learning Deep Robotic Skills on Riemannian manifolds. CoRR (2022)
Cristian Axenie, Daria Kurz, Matteo Saveriano
Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions. Symmetry 14 (10) (2022)
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR (2022)
Fares J. Abu-Dakka, Matteo Saveriano, Ville Kyrki
A Unified Formulation of Geometry-aware Dynamic Movement Primitives. CoRR (2022)
Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel
Periodic DMP formulation for Quaternion Trajectories. ICAR (2021)
Xiang Zhang, Matteo Saveriano, Justus H. Piater
Learning Descriptor of Constrained Task from Demonstration. CoRR (2021)
Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel
Dynamic Movement Primitives in Robotics: A Tutorial Survey. CoRR (2021)
Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel
Periodic DMP formulation for Quaternion Trajectories. CoRR (2021)
Gennaro Notomista, Matteo Saveriano
Safety of Dynamical Systems with Multiple Non-Convex Unsafe Sets Using Control Barrier Functions. CoRR (2021)
Alejandro Agostini, Matteo Saveriano, Dongheui Lee, Justus H. Piater
Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions. IEEE Robotics Autom. Lett. 5 (4) (2020)
Matteo Saveriano, Dongheui Lee
Incremental Skill Learning of Stable Dynamical Systems. CoRR (2020)
Fares J. Abu-Dakka, Matteo Saveriano
Variable Impedance Control and Learning - A Review. Frontiers Robotics AI 7 (2020)
Matteo Saveriano, Dongheui Lee
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems. CoRR (2020)
Matteo Saveriano, Justus H. Piater
Combining decision making and dynamical systems for monitoring and executing manipulation tasks. Elektrotech. Informationstechnik 137 (6) (2020)
Fares J. Abu-Dakka, Matteo Saveriano
Variable impedance control and learning - A review. CoRR (2020)
Matteo Saveriano, Felix Franzel, Dongheui Lee
Merging Position and Orientation Motion Primitives. CoRR (2020)
Matteo Saveriano
An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems. ICRA (2020)
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR (2020)
Pilar de la Cruz, Justus H. Piater, Matteo Saveriano
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. SMC (2020)
Jakob J. Hollenstein, Erwan Renaudo, Matteo Saveriano, Justus H. Piater
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. CoRR (2020)
Matteo Saveriano
An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems. CoRR (2020)
Pilar de la Cruz, Justus H. Piater, Matteo Saveriano
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. CoRR (2020)
Pietro Falco, Abdallah Attawia, Matteo Saveriano, Dongheui Lee
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation. CoRR (2019)
Pietro Falco, Matteo Saveriano, Dharmil Shah, Dongheui Lee
Representing human motion with FADE and U-FADE: an efficient frequency-domain approach. Auton. Robots 43 (1) (2019)
Thomas Eiband, Matteo Saveriano, Dongheui Lee
Learning Haptic Exploration Schemes for Adaptive Task Execution. ICRA (2019)
Matteo Saveriano, Felix Franzel, Dongheui Lee
Merging Position and orientation Motion Primitives. ICRA (2019)
Pietro Falco, Matteo Saveriano, Eka Gibran Hasany, Nicholas H. Kirk, Dongheui Lee
A Human Action Descriptor Based on Motion Coordination. CoRR (2019)
Matteo Saveriano, Dongheui Lee
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems. IROS (2019)
Matteo Saveriano, Dongheui Lee
Incremental Motion Reshaping of Autonomous Dynamical Systems. HFR (2019)
Matteo Saveriano, Michael Seegerer, Riccardo Caccavale, Alberto Finzi, Dongheui Lee
Symbolic Task Compression in Structured Task Learning. IRC (2019)
Thomas Eiband, Matteo Saveriano, Dongheui Lee
Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions. IEEE Robotics Autom. Lett. 4 (4) (2019)
Riccardo Caccavale, Matteo Saveriano, Alberto Finzi, Dongheui Lee
Kinesthetic teaching and attentional supervision of structured tasks in human-robot interaction. Auton. Robots 43 (6) (2019)
Matteo Saveriano, Dongheui Lee
Incremental Skill Learning of Stable Dynamical Systems. IROS (2018)
Dongheui Lee, Raffaele Soloperto, Matteo Saveriano
Bidirectional invariant representation of rigid body motions and its application to gesture recognition and reproduction. Auton. Robots 42 (1) (2018)
Pietro Falco, Abdallah Attawia, Matteo Saveriano, Dongheui Lee
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation. IEEE Robotics Autom. Lett. 3 (2) (2018)
Caroline Blocher, Matteo Saveriano, Dongheui Lee
Learning stable dynamical systems using contraction theory. URAI (2017)
Matteo Saveriano, Fabian Hirt, Dongheui Lee
Human-aware motion reshaping using dynamical systems. Pattern Recognit. Lett. 99 (2017)
Riccardo Caccavale, Matteo Saveriano, Giuseppe Andrea Fontanelli, Fanny Ficuciello, Dongheui Lee, Alberto Finzi
Imitation learning and attentional supervision of dual-arm structured tasks. ICDL-EPIROB (2017)
Roman Roor, Jonas Hess, Matteo Saveriano, Michael Karg, Alexandra Kirsch
Sensor Fusion for Semantic Place Labeling. VEHITS (2017)
Matteo Saveriano, Yuchao Yin, Pietro Falco, Dongheui Lee
Data-efficient control policy search using residual dynamics learning. IROS (2017)
Pietro Falco, Matteo Saveriano, Eka Gibran Hasany, Nicholas H. Kirk, Dongheui Lee
A Human Action Descriptor Based on Motion Coordination. IEEE Robotics Autom. Lett. 2 (2) (2017)
Dharmil Shah, Pietro Falco, Matteo Saveriano, Dongheui Lee
Encoding human actions with a frequency domain approach. IROS (2016)
Riccardo Caccavale, Alberto Finzi, Dongheui Lee, Matteo Saveriano
Integrated Task Learning and Kinesthetic Teaching for Human-Robot Cooperation. AIRO@AI*IA (2016)
Raffaele Soloperto, Matteo Saveriano, Dongheui Lee
A bidirectional invariant representation of motion for gesture recognition and reproduction. ICRA (2015)
Matteo Saveriano, Sang-ik An, Dongheui Lee
Incremental kinesthetic teaching of end-effector and null-space motion primitives. ICRA (2015)
Nicholas H. Kirk, Karinne Ramirez-Amaro, Emmanuel C. Dean-Leon, Matteo Saveriano, Gordon Cheng
Online prediction of activities with structure: Exploiting contextual associations and sequences. Humanoids (2015)
Matteo Saveriano, Dongheui Lee
Distance based dynamical system modulation for reactive avoidance of moving obstacles. ICRA (2014)
Vito Magnanimo, Matteo Saveriano, Silvia Rossi, Dongheui Lee
A Bayesian approach for task recognition and future human activity prediction. RO-MAN (2014)
Matteo Saveriano, Dongheui Lee
Safe motion generation and online reshaping using dynamical systems. URAI (2014)
Matteo Saveriano, Dongheui Lee
Learning motion and impedance behaviors from human demonstrations. URAI (2014)
Matteo Saveriano, Dongheui Lee
Point cloud based dynamical system modulation for reactive avoidance of convex and concave obstacles. IROS (2013)
Matteo Saveriano, Dongheui Lee
Invariant representation for user independent motion recognition. RO-MAN (2013)
Francesco Donnarumma, Vincenzo Lippiello, Matteo Saveriano
Fast incremental clustering and representation of a 3D point cloud sequence with planar regions. IROS (2012)