Buffer control technique for transmission frequency recovery of CBR connections over ATM networks. - Gianmarco Panza; Silvio Cucchi; Daniele Meli (ICASSP, 1999)

Dynamic Movement Primitives: Volumetric Obstacle Avoidance. - Michele Ginesi; Daniele Meli; Andrea Calanca; Diego Dall'Alba; Nicola Sansonetto; Paolo Fiorini (ICAR, 2019)

A knowledge-based framework for task automation in surgery. - Michele Ginesi; Daniele Meli; Hirenkumar Nakawala; Andrea Roberti; Paolo Fiorini (ICAR, 2019)

Autonomous task planning and situation awareness in robotic surgery. - Michele Ginesi; Daniele Meli; Andrea Roberti; Nicola Sansonetto; Paolo Fiorini (IROS, 2020)

Towards inductive learning of surgical task knowledge: a preliminary case study of the peg transfer task. - Daniele Meli; Paolo Fiorini; Mohan Sridharan (KES, 2020)

Improving rigid 3D calibration for robotic surgery. - Andrea Roberti; Nicola Piccinelli; Daniele Meli; Riccardo Muradore; Paolo Fiorini (CoRR, 2020)

Autonomous tissue retraction with a biomechanically informed logic based framework. - Daniele Meli; Eleonora Tagliabue; Diego Dall'Alba; Paolo Fiorini (ISMR, 2021)

Unsupervised identification of surgical robotic actions from small non homogeneous datasets. - Daniele Meli; Paolo Fiorini (CoRR, 2021)

Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions. - Michele Ginesi; Daniele Meli; Andrea Roberti; Nicola Sansonetto; Paolo Fiorini (J. Intell. Robotic Syst., 2021)

Inductive learning of answer set programs for autonomous surgical task planning. - Daniele Meli; Mohan Sridharan; Paolo Fiorini (Mach. Learn., 2021)

Unsupervised Identification of Surgical Robotic Actions From Small Homogeneous Datasets. - Daniele Meli; Paolo Fiorini (IEEE Robotics Autom. Lett., 2021)

Inductive Learning of Surgical Task Knowledge from Intra-operative Expert Feedback (short paper). - Daniele Meli; Marco Bombieri; Diego Dall'Alba; Paolo Fiorini (AIRO@AI*IA, 2022)

From POMDP Executions to Probabilistic Axioms. - Daniele Meli; Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (OVERLAY@AI*IA, 2022)

Deliberation in autonomous robotic surgery: a framework for handling anatomical uncertainty. - Eleonora Tagliabue; Daniele Meli; Diego Dall'Alba; Paolo Fiorini (ICRA, 2022)

Monte Carlo Planning for Mobile Robots in Large Action Spaces With Velocity Obstacles (short paper). - Lorenzo Bonanni; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2023)

Learning Logic Specifications for Soft Policy Guidance in POMCP. - Giulio Mazzi; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AAMAS, 2023)

Inductive Logic Programming for Transparent Alignment with Multiple Moral Values. - Celeste Veronese; Daniele Meli; Filippo Bistaffa; Manel Rodriguez-Soto; Alessandro Farinelli; Juan A. Rodríguez-Aguilar (BEWARE@AI*IA, 2023)

Semantic Monocular Surgical SLAM: Intra-Operative 3D Reconstruction and Pre-Operative Registration in Dynamic Environments. - Andrea Roberti; Daniele Meli; Giacomo De Rossi; Riccardo Muradore; Paolo Fiorini (ICAR, 2023)

Safe and Efficient Reinforcement Learning for Environmental Monitoring. - Federico Bianchi 002; Davide Corsi; Luca Marzari; Daniele Meli; Francesco Trotti; Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (Ital-IA, 2023)

Logic programming for deliberative robotic task planning. - Daniele Meli; Hirenkumar Nakawala; Paolo Fiorini (Artif. Intell. Rev., 2023)

Mapping natural language procedures descriptions to linear temporal logic templates: an application in the surgical robotic domain. - Marco Bombieri; Daniele Meli; Diego Dall'Alba; Marco Rospocher; Paolo Fiorini (Appl. Intell., 2023)

What Are You Saying? Explaining Communication in Multi-Agent Reinforcement Learning (short paper). - Daniele Meli; Cristian Morasso; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2024)

Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series. - Daniele Meli (CASE, 2024)

Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK. - Cristian Morasso; Daniele Meli; Yann Divet; Salvatore Sessa 001; Alessandro Farinelli (ERF (1), 2024)

Developing safe and explainable autonomous agents: from simulation to the real world. - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli; Luca Marzari; Daniele Meli; Francesco Trotti; Celeste Veronese (Ital-IA, 2024)

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. - Daniele Meli; Alberto Castellini; Alessandro Farinelli (J. Artif. Intell. Res., 2024)

Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic Environments. - Lorenzo Bonanni; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AAMAS, 2025)

Editorial: Merging symbolic and data-driven AI for robot autonomy. - Daniele Meli; Mohan Sridharan; Simona Perri; Nikos Katzouris (Frontiers Robotics AI, 2025)

Online inductive learning from answer sets for efficient reinforcement learning exploration. - Celeste Veronese; Daniele Meli; Alessandro Farinelli (CoRR, 2025)

Depth-Constrained ASV Navigation with Deep RL and Limited Sensing. - Amirhossein Zhalehmehrabi; Daniele Meli; Francesco Dal Santo; Francesco Trotti; Alessandro Farinelli (CoRR, 2025)

Inductive learning of robot task knowledge from raw data and online expert feedback. - Daniele Meli; Paolo Fiorini (Mach. Learn., 2025)

Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time. - Celeste Veronese; Daniele Meli; Alessandro Farinelli (CoRR, 2025)

Dynamic Movement Primitives With Control Barrier Functions for Constrained Trajectory Planning. - Federico Vesentini; Daniele Meli; Nicola Sansonetto; Luca Di Persio; Riccardo Muradore (IEEE Robotics Autom. Lett., 2025)