Enrico Saccon

According to our database, Enrico Saccon authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Automated Generation of MDPs Using Logic Programming and LLMs for Robotic Applications.

Enrico Saccon, Davide De Martini, Matteo Saveriano, Edoardo Lamon, Luigi Palopoli, Marco Roveri

IEEE Robotics Autom. Lett., February, 2026

2025

Fast Shortest Path Polyline Smoothing With $G^{1}$ Continuity and Bounded Curvature.

Patrick Pastorelli, Simone Dagnino, Enrico Saccon, Marco Frego, Luigi Palopoli

IEEE Robotics Autom. Lett., April, 2025

A Temporal Planning Framework for Multi-Agent Systems via LLM-Aided Knowledge Base Management.

Enrico Saccon, Ahmet Tikna, Davide De Martini, Edoardo Lamon, Luigi Palopoli, Marco Roveri

CoRR, February, 2025

When Prolog Meets Generative Models: a New Approach for Managing Knowledge and Planning in Robotic Applications - Abstract.

Enrico Saccon, Ahmet Tikna, Davide De Martini, Edoardo Lamon, Luigi Palopoli, Marco Roveri

Proceedings of the Joint Proceedings of the Workshops and Doctoral Consortium of the 41st International Conference on Logic Programming (ICLP-WS-DC 2025) co-located with 41st International Conference on Logic Programming (ICLP 2025), 2025

2024

Fast Shortest Path Polyline Smoothing With G1 Continuity and Bounded Curvature.

Patrick Pastorelli, Simone Dagnino, Enrico Saccon, Marco Frego, Luigi Palopoli

CoRR, 2024

When Prolog Meets Generative Models: a New Approach for Managing Knowledge and Planning in Robotic Applications.

Enrico Saccon, Ahmet Tikna, Davide De Martini, Edoardo Lamon, Luigi Palopoli, Marco Roveri

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Multi-Agent Open Framework: Developing a Holistic System to Solve MAPF (Student Abstract).

Enrico Saccon

Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

2022

Comparing Multi-Agent Path Finding Algorithms in a Real Industrial Scenario.

Enrico Saccon, Luigi Palopoli, Marco Roveri

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021

Robot Motion Planning: can GPUs be a Game Changer?

Enrico Saccon, Paolo Bevilacqua, Daniele Fontanelli, Marco Frego, Luigi Palopoli, Roberto Passerone

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

An Iterative Dynamic Programming Approach to the Multipoint Markov-Dubins Problem.

Marco Frego, Paolo Bevilacqua, Enrico Saccon, Luigi Palopoli, Daniele Fontanelli

IEEE Robotics Autom. Lett., 2020