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Matteo Saveriano
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2020 – today
- 2024
- [j29]Basem Shaker, Gastone Pietro Rosati Papini, Matteo Saveriano, Kuo-Yun Liang:
Generating Synthetic Vehicle Data Using Decentralized Generative Adversarial Networks. IEEE Access 12: 138076-138085 (2024) - [j28]Philipp Braun, Abhishek Bhardwaj, Mirko Brentari, Luca Zaccarian, Matteo Saveriano:
Static anti-windup with shifted equilibria applied to a Segway-like vehicle. Autom. 169: 111830 (2024) - [j27]Youssef Michel, Matteo Saveriano, Dongheui Lee:
A Novel Safety-Aware Energy Tank Formulation Based on Control Barrier Functions. IEEE Robotics Autom. Lett. 9(6): 5206-5213 (2024) - [j26]Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel:
Learning periodic skills for robotic manipulation: Insights on orientation and impedance. Robotics Auton. Syst. 180: 104763 (2024) - [j25]Youssef Michel, Matteo Saveriano, Dongheui Lee:
A Passivity-Based Approach for Variable Stiffness Control With Dynamical Systems. IEEE Trans Autom. Sci. Eng. 21(4): 6265-6276 (2024) - [c35]Matteo Dalle Vedove, Edoardo Lamon, Daniele Fontanelli, Luigi Palopoli, Matteo Saveriano:
A Passivity-Based Variable Impedance Controller for Incremental Learning of Periodic Interactive Tasks. CASE 2024: 2604-2609 - [c34]Luca Beber, Edoardo Lamon, Luigi Palopoli, Luca Fambri, Matteo Saveriano, Daniele Fontanelli:
Elasticity Measurements of Expanded Foams Using a Collaborative Robotic Arm. I2MTC 2024: 1-6 - [c33]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: 1298-1304 - [c32]Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete:
Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set. ICRA 2024: 11626-11632 - [c31]Zheng Shen, Matteo Saveriano, Fares J. Abu-Dakka, Sami Haddadin:
Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions. ICRA 2024: 13376-13382 - [i39]Zheng Shen, Matteo Saveriano, Fares J. Abu-Dakka, Sami Haddadin:
Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions. CoRR abs/2403.05447 (2024) - [i38]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 abs/2404.09542 (2024) - [i37]Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano:
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. CoRR abs/2406.09120 (2024) - [i36]Matteo Dalle Vedove, Edoardo Lamon, Daniele Fontanelli, Luigi Palopoli, Matteo Saveriano:
A Passivity-Based Variable Impedance Controller for Incremental Learning of Periodic Interactive Tasks. CoRR abs/2408.10580 (2024) - [i35]Davide Nardi, Edoardo Lamon, Luca Beber, Daniele Fontanelli, Matteo Saveriano, Luigi Palopoli:
An Anatomy-Aware Shared Control Approach for Assisted Teleoperation of Lung Ultrasound Examinations. CoRR abs/2409.17395 (2024) - [i34]Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli, Daniele Fontanelli, Matteo Saveriano:
MeshDMP: Motion Planning on Discrete Manifolds using Dynamic Movement Primitives. CoRR abs/2410.15123 (2024) - 2023
- [j24]Naseem Alhousani, Matteo Saveriano, Ibrahim Sevinc, Talha Abdulkuddus, Hatice Kose, Fares J. Abu-Dakka:
Geometric Reinforcement Learning for Robotic Manipulation. IEEE Access 11: 111492-111505 (2023) - [j23]Cristian Axenie, Matteo Saveriano:
Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility. IEEE Access 11: 138188-138200 (2023) - [j22]Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel:
Dynamic movement primitives in robotics: A tutorial survey. Int. J. Robotics Res. 42(13): 1133-1184 (2023) - [j21]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): 6971-6978 (2023) - [j20]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: 104309 (2023) - [j19]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: 104427 (2023) - [j18]Matteo Saveriano, Fares J. Abu-Dakka, Ville Kyrki:
Learning stable robotic skills on Riemannian manifolds. Robotics Auton. Syst. 169: 104510 (2023) - [c30]Rocco Felici, Matteo Saveriano, Loris Roveda, Antonio Paolillo:
Imitation Learning-Based Visual Servoing for Tracking Moving Objects. HFR 2023: 110-122 - [c29]Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano:
Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation. ICRA 2023: 755-761 - [c28]Youssef Michel, Matteo Saveriano, Fares J. Abu-Dakka, Dongheui Lee:
Orientation Control with Variable Stiffness Dynamical Systems. IROS 2023: 4457-4463 - [i33]Cristian Axenie, Matteo Saveriano:
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. CoRR abs/2302.05117 (2023) - [i32]Asia La Rocca, Matteo Saveriano, Andrea Del Prete:
VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control. CoRR abs/2305.07535 (2023) - [i31]Youssef Michel, Matteo Saveriano, Dongheui Lee:
A Passivity-based Approach for Variable Stiffness Control with Dynamical Systems. CoRR abs/2307.09571 (2023) - [i30]Rocco Felici, Matteo Saveriano, Loris Roveda, Antonio Paolillo:
Imitation Learning-based Visual Servoing for Tracking Moving Objects. CoRR abs/2309.07729 (2023) - [i29]Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete:
Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set. CoRR abs/2309.11124 (2023) - [i28]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 abs/2309.14893 (2023) - [i27]Youssef Michel, Matteo Saveriano, Fares J. Abu-Dakka, Dongheui Lee:
Orientation Control with Variable Stiffness Dynamical Systems. CoRR abs/2309.15624 (2023) - [i26]Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano:
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills. CoRR abs/2311.02475 (2023) - [i25]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 abs/2311.03600 (2023) - [i24]Luca Beber, Edoardo Lamon, Luigi Palopoli, Luca Fambri, Matteo Saveriano, Daniele Fontanelli:
Elasticity Measurements of Expanded Foams using a Collaborative Robotic Arm. CoRR abs/2312.09628 (2023) - 2022
- [j17]Weitao Wang, Matteo Saveriano, Fares J. Abu-Dakka:
Learning Deep Robotic Skills on Riemannian Manifolds. IEEE Access 10: 114143-114152 (2022) - [j16]Gennaro Notomista, Matteo Saveriano:
Safety of Dynamical Systems With Multiple Non-Convex Unsafe Sets Using Control Barrier Functions. IEEE Control. Syst. Lett. 6: 1136-1141 (2022) - [j15]Jacopo Aleotti, Matteo Saveriano, Riccardo Monica:
Editorial: Learning, Perception, and Collaboration for Robots in Industrial Environments. Frontiers Robotics AI 9: 888971 (2022) - [j14]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): 514-526 (2022) - [j13]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): 12158-12160 (2022) - [j12]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): 2034 (2022) - [j11]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) - [c27]Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano:
Affordance detection with Dynamic-Tree Capsule Networks. Humanoids 2022: 873-879 - [c26]Antonio Paolillo, Matteo Saveriano:
Learning Stable Dynamical Systems for Visual Servoing. ICRA 2022: 8636-8642 - [i23]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual Learning from Demonstration of Robotic Skills. CoRR abs/2202.06843 (2022) - [i22]Fares J. Abu-Dakka, Matteo Saveriano, Ville Kyrki:
A Unified Formulation of Geometry-aware Dynamic Movement Primitives. CoRR abs/2203.03374 (2022) - [i21]Antonio Paolillo, Matteo Saveriano:
Learning Stable Dynamical Systems for Visual Servoing. CoRR abs/2204.05681 (2022) - [i20]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 abs/2206.03787 (2022) - [i19]Matteo Saveriano, Fares J. Abu-Dakka, Ville Kyrki:
Learning Stable Robotic Skills on Riemannian Manifolds. CoRR abs/2208.13267 (2022) - [i18]Naseem Alhousani, Matteo Saveriano, Ibrahim Sevinc, Talha Abdulkuddus, Hatice Kose, Fares J. Abu-Dakka:
Geometric Reinforcement Learning: The Case of Cartesian Space Orientation. CoRR abs/2210.08126 (2022) - [i17]Weitao Wang, Matteo Saveriano, Fares J. Abu-Dakka:
Learning Deep Robotic Skills on Riemannian manifolds. CoRR abs/2210.15244 (2022) - [i16]Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano:
Affordance detection with Dynamic-Tree Capsule Networks. CoRR abs/2211.05200 (2022) - [i15]Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano:
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks. CoRR abs/2212.08531 (2022) - 2021
- [c25]Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel:
Periodic DMP formulation for Quaternion Trajectories. ICAR 2021: 658-663 - [e1]Matteo Saveriano, Erwan Renaudo, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Human-Friendly Robotics 2020 - 13th International Workshop, HFR 2020, Innsbruck, Austria, October 2020. Springer Proceedings in Advanced Robotics 18, Springer 2021, ISBN 978-3-030-71355-3 [contents] - [i14]Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel:
Dynamic Movement Primitives in Robotics: A Tutorial Survey. CoRR abs/2102.03861 (2021) - [i13]Xiang Zhang, Matteo Saveriano, Justus H. Piater:
Learning Descriptor of Constrained Task from Demonstration. CoRR abs/2103.09465 (2021) - [i12]Gennaro Notomista, Matteo Saveriano:
Safety of Dynamical Systems with Multiple Non-Convex Unsafe Sets Using Control Barrier Functions. CoRR abs/2106.06330 (2021) - [i11]Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel:
Periodic DMP formulation for Quaternion Trajectories. CoRR abs/2110.10510 (2021) - 2020
- [j10]Matteo Saveriano, Justus H. Piater:
Combining decision making and dynamical systems for monitoring and executing manipulation tasks. Elektrotech. Informationstechnik 137(6): 309-315 (2020) - [j9]Fares J. Abu-Dakka, Matteo Saveriano:
Variable Impedance Control and Learning - A Review. Frontiers Robotics AI 7: 590681 (2020) - [j8]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): 5629-5636 (2020) - [c24]Matteo Saveriano:
An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems. ICRA 2020: 4407-4413 - [c23]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: 1915-1922 - [i10]Matteo Saveriano:
An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems. CoRR abs/2003.11290 (2020) - [i9]Matteo Saveriano, Dongheui Lee:
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems. CoRR abs/2003.11500 (2020) - [i8]Matteo Saveriano, Felix Franzel, Dongheui Lee:
Merging Position and Orientation Motion Primitives. CoRR abs/2003.11507 (2020) - [i7]Matteo Saveriano, Dongheui Lee:
Incremental Skill Learning of Stable Dynamical Systems. CoRR abs/2003.11803 (2020) - [i6]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 abs/2007.10663 (2020) - [i5]Fares J. Abu-Dakka, Matteo Saveriano:
Variable impedance control and learning - A review. CoRR abs/2010.06246 (2020) - [i4]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 abs/2010.12974 (2020) - [i3]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR abs/2010.15533 (2020)
2010 – 2019
- 2019
- [j7]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): 179-196 (2019) - [j6]Riccardo Caccavale, Matteo Saveriano, Alberto Finzi, Dongheui Lee:
Kinesthetic teaching and attentional supervision of structured tasks in human-robot interaction. Auton. Robots 43(6): 1291-1307 (2019) - [j5]Thomas Eiband, Matteo Saveriano, Dongheui Lee:
Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions. IEEE Robotics Autom. Lett. 4(4): 4483-4490 (2019) - [c22]Matteo Saveriano, Dongheui Lee:
Incremental Motion Reshaping of Autonomous Dynamical Systems. HFR 2019: 43-57 - [c21]Matteo Saveriano, Felix Franzel, Dongheui Lee:
Merging Position and orientation Motion Primitives. ICRA 2019: 7041-7047 - [c20]Thomas Eiband, Matteo Saveriano, Dongheui Lee:
Learning Haptic Exploration Schemes for Adaptive Task Execution. ICRA 2019: 7048-7054 - [c19]Matteo Saveriano, Michael Seegerer, Riccardo Caccavale, Alberto Finzi, Dongheui Lee:
Symbolic Task Compression in Structured Task Learning. IRC 2019: 171-176 - [c18]Matteo Saveriano, Dongheui Lee:
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems. IROS 2019: 112-119 - [i2]Pietro Falco, Abdallah Attawia, Matteo Saveriano, Dongheui Lee:
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation. CoRR abs/1911.08927 (2019) - [i1]Pietro Falco, Matteo Saveriano, Eka Gibran Hasany, Nicholas H. Kirk, Dongheui Lee:
A Human Action Descriptor Based on Motion Coordination. CoRR abs/1911.08928 (2019) - 2018
- [j4]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): 125-145 (2018) - [j3]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): 1482-1489 (2018) - [c17]Matteo Saveriano, Dongheui Lee:
Incremental Skill Learning of Stable Dynamical Systems. IROS 2018: 6574-6581 - 2017
- [j2]Matteo Saveriano, Fabian Hirt, Dongheui Lee:
Human-aware motion reshaping using dynamical systems. Pattern Recognit. Lett. 99: 96-104 (2017) - [j1]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): 811-818 (2017) - [c16]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: 66-71 - [c15]Matteo Saveriano, Yuchao Yin, Pietro Falco, Dongheui Lee:
Data-efficient control policy search using residual dynamics learning. IROS 2017: 4709-4715 - [c14]Caroline Blocher, Matteo Saveriano, Dongheui Lee:
Learning stable dynamical systems using contraction theory. URAI 2017: 124-129 - [c13]Roman Roor, Jonas Hess, Matteo Saveriano, Michael Karg, Alexandra Kirsch:
Sensor Fusion for Semantic Place Labeling. VEHITS 2017: 121-131 - 2016
- [c12]Riccardo Caccavale, Alberto Finzi, Dongheui Lee, Matteo Saveriano:
Integrated Task Learning and Kinesthetic Teaching for Human-Robot Cooperation. AIRO@AI*IA 2016: 68-73 - [c11]Dharmil Shah, Pietro Falco, Matteo Saveriano, Dongheui Lee:
Encoding human actions with a frequency domain approach. IROS 2016: 5304-5311 - 2015
- [c10]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: 744-749 - [c9]Matteo Saveriano, Sang-ik An, Dongheui Lee:
Incremental kinesthetic teaching of end-effector and null-space motion primitives. ICRA 2015: 3570-3575 - [c8]Raffaele Soloperto, Matteo Saveriano, Dongheui Lee:
A bidirectional invariant representation of motion for gesture recognition and reproduction. ICRA 2015: 6146-6152 - 2014
- [c7]Matteo Saveriano, Dongheui Lee:
Distance based dynamical system modulation for reactive avoidance of moving obstacles. ICRA 2014: 5618-5623 - [c6]Vito Magnanimo, Matteo Saveriano, Silvia Rossi, Dongheui Lee:
A Bayesian approach for task recognition and future human activity prediction. RO-MAN 2014: 726-731 - [c5]Matteo Saveriano, Dongheui Lee:
Safe motion generation and online reshaping using dynamical systems. URAI 2014: 45 - [c4]Matteo Saveriano, Dongheui Lee:
Learning motion and impedance behaviors from human demonstrations. URAI 2014: 368-373 - 2013
- [c3]Matteo Saveriano, Dongheui Lee:
Point cloud based dynamical system modulation for reactive avoidance of convex and concave obstacles. IROS 2013: 5380-5387 - [c2]Matteo Saveriano, Dongheui Lee:
Invariant representation for user independent motion recognition. RO-MAN 2013: 650-655 - 2012
- [c1]Francesco Donnarumma, Vincenzo Lippiello, Matteo Saveriano:
Fast incremental clustering and representation of a 3D point cloud sequence with planar regions. IROS 2012: 3475-3480
Coauthor Index
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