Zobrazeno 1 - 10
of 2 840
pro vyhledávání: '"A. Consolini"'
Among sub-optimal Multi-Agent Path Finding (MAPF) solvers, rule-based algorithms are particularly appealing since they are complete. Even in crowded scenarios, they allow finding a feasible solution that brings each agent to its target, preventing de
Externí odkaz:
http://arxiv.org/abs/2410.07954
Kinetic scale dynamics in weakly-collisional space plasmas usually exhibits a self-similar statistics of magnetic field fluctuations which implies the existence of an invariant probability density function (master curve). We provide an analytical der
Externí odkaz:
http://arxiv.org/abs/2409.01775
We consider a road network represented by a directed graph. We assume to collect many measurements of traffic flows on all the network arcs, or on a subset of them. We assume that the users are divided into different groups. Each group follows a diff
Externí odkaz:
http://arxiv.org/abs/2403.18561
Autor:
Di Credico, Giulia, Consolini, Luca, Laurini, Mattia, Locatelli, Marco, Milanesi, Marco, Schiavo, Michele, Visioli, Antonio
We address the problem of parameter identification for the standard pharmacokinetic/pharmacodynamic (PK/PD) model for anesthetic drugs. Our main contribution is the development of a global optimization method that guarantees finding the parameters th
Externí odkaz:
http://arxiv.org/abs/2403.16742
The behavior of cyclists when choosing the path to follow along a road network is not uniform. Some of them are mostly interested in minimizing the travelled distance, but some others may also take into account other features such as safety of the ro
Externí odkaz:
http://arxiv.org/abs/2403.16580
Publikováno v:
Rendiconti Lincei. Scienze Fisiche e Naturali, 35, 49-61, 2024
The variability in the magnetic activity of the Sun is the main source of the observed changes in the plasma and electromagnetic environments within the heliosphere. The primary way in which solar activity affects the Earth's environment is via the s
Externí odkaz:
http://arxiv.org/abs/2312.01956
Autor:
Consolini, Luca, Locatelli, Marco
We consider the speed planning problem for a vehicle moving along an assigned trajectory, under maximum speed, tangential and lateral acceleration, and jerk constraints. The problem is a nonconvex one, where nonconvexity is due to jerk constraints. W
Externí odkaz:
http://arxiv.org/abs/2310.07583
Publikováno v:
Journal of Artificial Intelligence Research 79, 483--514, 2024
The pebble motion on trees (PMT) problem consists in finding a feasible sequence of moves that repositions a set of pebbles to assigned target vertices. This problem has been widely studied because, in many cases, the more general Multi-Agent path fi
Externí odkaz:
http://arxiv.org/abs/2307.12770
Autor:
Benella, Simone, Stumpo, Mirko, Alberti, Tommaso, Pezzi, Oreste, Papini, Emanuele, Yordanova, Emiliya, Valentini, Francesco, Consolini, Giuseppe
Current understanding of the kinetic-scale turbulence in weakly-collisional plasmas still remains elusive. We employ a general framework in which the turbulent energy transfer is envisioned as a scale-to-scale Langevin process. Fluctuations in the su
Externí odkaz:
http://arxiv.org/abs/2306.07846
Publikováno v:
2023 62nd IEEE Conference on Decision and Control (CDC), 8081-8086
Among sub-optimal MAPF solvers, rule-based algorithms are particularly appealing since they are complete. Even in crowded scenarios, they allow finding a feasible solution that brings each agent to its target, preventing deadlock situations. However,
Externí odkaz:
http://arxiv.org/abs/2304.01765