Matteo Saveriano

収録論文 49本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• PAC-DP: PAC-Bayesian Diffusion Policy Learning
  2026/7/1
• PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control
  2026/6/1
• Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations
  2026/3/1
• Autonomous Robotic Tissue Palpation and Abnormalities Characterisation via Ergodic Exploration
  2026/2/1
• Automated Generation of MDPs Using Logic Programming and LLMs for Robotic Applications
  2025/11/1
• Parallel-Constraint Model Predictive Control: Exploiting Parallel Computation for Improving Safety
  2025/9/1
• Force-Based Viscosity and Elasticity Measurements for Material Biomechanical Characterisation with a Collaborative Robotic Arm
  2025/7/1
• Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds
  2025/4/1
• Combining Large Language Models and Symbolic Reasoning for Multi-Robot Temporal Planning through Explainable Knowledge Bases
  2025/2/1
• Surface Defect Identification using Bayesian Filtering on a 3D Mesh
  2025/1/1
• Reactive Robot Navigation Using Quasi-conformal Mappings and Control Barrier Functions
  2024/11/1
• MeshDMP: Motion Planning on Discrete Manifolds using Dynamic Movement Primitives
  2024/10/1
• An Anatomy-Aware Shared Control Approach for Assisted Teleoperation of Lung Ultrasound Examinations
  2024/9/1
• A Passivity-Based Variable Impedance Controller for Incremental Learning of Periodic Interactive Tasks
  2024/8/1
• Imitation Learning-based Direct Visual Servoing using the Large Projection Formulation
  2024/6/1
• Towards Robotised Palpation for Cancer Detection through Online Tissue Viscoelastic Characterisation with a Collaborative Robotic Arm
  2024/4/1
• Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
  2024/4/1
• Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
  2024/3/1
• Elasticity Measurements of Expanded Foams using a Collaborative Robotic Arm
  2023/12/1
• Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills
  2023/11/1
• Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Model
  2023/11/1
• Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set
  2023/9/1
• A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography
  2023/9/1
• Orientation Control with Variable Stiffness Dynamical Systems
  2023/9/1
• Imitation Learning-based Visual Servoing for Tracking Moving Objects
  2023/9/1
• A Passivity-based Approach for Variable Stiffness Control with Dynamical Systems
  2023/7/1
• VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control
  2023/5/1
• Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty
  2023/2/1
• Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks
  2022/12/1
• Affordance detection with Dynamic-Tree Capsule Networks
  2022/11/1
• Learning Deep Robotic Skills on Riemannian manifolds
  2022/10/1
• Geometric Reinforcement Learning For Robotic Manipulation
  2022/10/1
• Learning Stable Robotic Skills on Riemannian Manifolds
  2022/8/1
• Learning Stable Dynamical Systems for Visual Servoing
  2022/4/1
• A Unified Formulation of Geometry-aware Dynamic Movement Primitives
  2022/3/1
• Continual Learning from Demonstration of Robotics Skills
  2022/2/1
• Periodic DMP formulation for Quaternion Trajectories
  2021/10/1
• Safety of Dynamical Systems with Multiple Non-Convex Unsafe Sets Using Control Barrier Functions
  2021/6/1
• Learning Descriptor of Constrained Task from Demonstration
  2021/3/1
• Dynamic Movement Primitives in Robotics: A Tutorial Survey
  2021/2/1
• Variable impedance control and learning -- A review
  2020/10/1
• Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search
  2020/10/1
• Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features
  2020/7/1
• An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems
  2020/3/1
• Incremental Skill Learning of Stable Dynamical Systems
  2020/3/1
• Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems
  2020/3/1
• Merging Position and Orientation Motion Primitives
  2020/3/1
• On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation
  2019/11/1
• A Human Action Descriptor Based on Motion Coordination
  2019/11/1