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2020 – today
- 2024
[c4]Enrico Saccon, Ahmet Tikna, Davide De Martini, Edoardo Lamon, Luigi Palopoli, Marco Roveri:
When Prolog Meets Generative Models: a New Approach for Managing Knowledge and Planning in Robotic Applications. ICRA 2024: 17065-17071- [i2]Patrick Pastorelli, Simone Dagnino, Enrico Saccon, Marco Frego, Luigi Palopoli:
Fast Shortest Path Polyline Smoothing With G1 Continuity and Bounded Curvature. CoRR abs/2409.09816 (2024) - 2023
- [c3]Enrico Saccon:
Multi-Agent Open Framework: Developing a Holistic System to Solve MAPF (Student Abstract). SOCS 2023: 198-199 - [i1]Enrico Saccon, Ahmet Tikna, Davide De Martini, Edoardo Lamon, Marco Roveri, Luigi Palopoli:
When Prolog meets generative models: a new approach for managing knowledge and planning in robotic applications. CoRR abs/2309.15049 (2023) - 2022
- [c2]Enrico Saccon
, Luigi Palopoli, Marco Roveri:
Comparing Multi-Agent Path Finding Algorithms in a Real Industrial Scenario. AI*IA 2022: 184-197 - 2021
- [c1]Enrico Saccon, Paolo Bevilacqua, Daniele Fontanelli, Marco Frego, Luigi Palopoli, Roberto Passerone:
Robot Motion Planning: can GPUs be a Game Changer? COMPSAC 2021: 21-30 - 2020
- [j1]Marco Frego, Paolo Bevilacqua, Enrico Saccon, Luigi Palopoli, Daniele Fontanelli:
An Iterative Dynamic Programming Approach to the Multipoint Markov-Dubins Problem. IEEE Robotics Autom. Lett. 5(2): 2483-2490 (2020)
Coauthor Index
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