| 2025 | ICRA | Parallel-Constraint Model Predictive Control: Exploiting Parallel Computation for Improving Safety. | Elias Fontanari, Gianni Lunardi, Matteo Saveriano, Andrea Del Prete |
| 2025 | ICRA | MeshDMP: Motion Planning on Discrete Manifolds Using Dynamic Movement Primitives. | Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli, Daniele Fontanelli, Matteo Saveriano |
| 2024 | ICRA | A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography. | Luca Beber, Edoardo Lamon, Davide Nardi, Daniele Fontanelli, Matteo Saveriano, Luigi Palopoli |
| 2024 | ICRA | Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set. | Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete |
| 2024 | IROS | Towards Robotised Palpation for Cancer Detection through Online Tissue Viscoelastic Characterisation with a Collaborative Robotic Arm. | Luca Beber, Edoardo Lamon, Giacomo Moretti, Daniele Fontanelli, Matteo Saveriano, Luigi Palopoli |
| 2024 | ICRA | Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions. | Zheng Shen, Matteo Saveriano, Fares J. Abu-Dakka, Sami Haddadin |
| 2023 | ICRA | Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation. | Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano |
| 2023 | IROS | Orientation Control with Variable Stiffness Dynamical Systems. | Youssef Michel, Matteo Saveriano, Fares J. Abu-Dakka, Dongheui Lee |
| 2022 | ICRA | Learning Stable Dynamical Systems for Visual Servoing. | Antonio Paolillo, Matteo Saveriano |
| 2020 | ICRA | An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems. | Matteo Saveriano |
| 2020 | SMC | Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. | Pilar de la Cruz, Justus H. Piater, Matteo Saveriano |
| 2019 | ICRA | Learning Haptic Exploration Schemes for Adaptive Task Execution. | Thomas Eiband, Matteo Saveriano, Dongheui Lee |
| 2019 | IROS | Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems. | Matteo Saveriano, Dongheui Lee |
| 2019 | ICRA | Merging Position and orientation Motion Primitives. | Matteo Saveriano, Felix Franzel, Dongheui Lee |
| 2018 | IROS | Incremental Skill Learning of Stable Dynamical Systems. | Matteo Saveriano, Dongheui Lee |
| 2017 | IROS | Data-efficient control policy search using residual dynamics learning. | Matteo Saveriano, Yuchao Yin, Pietro Falco, Dongheui Lee |
| 2017 | VEHITS | Sensor Fusion for Semantic Place Labeling. | Roman Roor, Jonas Hess, Matteo Saveriano, Michael Karg, Alexandra Kirsch |
| 2016 | IROS | Encoding human actions with a frequency domain approach. | Dharmil Shah, Pietro Falco, Matteo Saveriano, Dongheui Lee |
| 2015 | ICRA | Incremental kinesthetic teaching of end-effector and null-space motion primitives. | Matteo Saveriano, Sang-ik An, Dongheui Lee |
| 2015 | ICRA | A bidirectional invariant representation of motion for gesture recognition and reproduction. | Raffaele Soloperto, Matteo Saveriano, Dongheui Lee |
| 2014 | ICRA | Distance based dynamical system modulation for reactive avoidance of moving obstacles. | Matteo Saveriano, Dongheui Lee |
| 2014 | RO-MAN | A Bayesian approach for task recognition and future human activity prediction. | Vito Magnanimo, Matteo Saveriano, Silvia Rossi, Dongheui Lee |
| 2013 | IROS | Point cloud based dynamical system modulation for reactive avoidance of convex and concave obstacles. | Matteo Saveriano, Dongheui Lee |
| 2013 | RO-MAN | Invariant representation for user independent motion recognition. | Matteo Saveriano, Dongheui Lee |
| 2012 | IROS | Fast incremental clustering and representation of a 3D point cloud sequence with planar regions. | Francesco Donnarumma, Vincenzo Lippiello, Matteo Saveriano |