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Št. zadetkov: 8
Večagentni sistem za porazdeljeno krmiljenje kibernetsko-fizičnih sistemov
Andreja Malus, Rok Vrabič
Doktorska disertacija
Oznake: disertacije;proizvodni sistemi;kibernetsko-fizični sistemi;porazdeljeno krmiljenje;večagentni sistemi;spodbujevalno učenje;industrijski internet stvari;
V raziskavi je obravnavan problem krmiljenja kompleksnih kibernetsko-fizičnih proizvodnih sistemov, v katerih zaradi kompleksnosti in medsebojne povezanosti elementov tradicionalne metode niso več učinkovite. Uporabljen je bil večagentni pristop h krmiljenju, ki omogoča fleksibilno in prilagodljivo ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
Določanje vplivov okoljskih dejavnikov in človeka na priraščanje črne jelše v Prekmurju
Andreja Malus, Jana Laganis, Tom Levanič
Diplomsko delo
Oznake: črna jelša;poplavni gozdovi;okoljski vplivi;dendrokronologija;diplomske naloge;
Določanje vplivov okoljskih dejavnikov in človeka na priraščanje črne jelše v Prekmurju
Leto: 2012 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Real-time order dispatching for a fleet of autonomous mobile robots using multi-agent reinforcement learning
Andreja Malus, Dominik Kozjek, Rok Vrabič
Izvirni znanstveni članek
Oznake: logistics;machine learning;distributed control;
Autonomous mobile robots (AMRs) are increasingly being used to enable efficient material flow in dynamic production environments. Dispatching transport orders in such environments is difficult due to the complexity arising from the rapid changes in the environment as well as due to a tight coupling ...
Leto: 2020 Vir: Fakulteta za strojništvo (UL FS)
Multi-objective adjustment of remaining useful life predictions based on reinforcement learning
Dominik Kozjek, Andreja Malus, Rok Vrabič
Objavljeni znanstveni prispevek na konferenci
Oznake: napovedno vzdrževanje;preostala uporabna doba;vzpodbujevalno učenje;predictive maintainance;remaining useful life;reinforcement learning;
Effective tracking of degradation in machine tools or vehicle, ship, and aircraft engines is key to ensure their high utilization, effective maintenance, and safety. Data from the built-in sensors can be used to build models that accurately predict the remaining useful life (RUL) of the observed sys ...
Leto: 2020 Vir: Fakulteta za strojništvo (UL FS)
Reinforcement-learning-based route generation for heavy-traffic autonomous mobile robot systems
Dominik Kozjek, Andreja Malus, Rok Vrabič
Izvirni znanstveni članek
Oznake: intralogistika;avtonomni mobilni roboti;spodbujevalno učenje;intralogistics;autonomous mobile robots;multi-robot cooperation;reinforcement learning;route planning;
Autonomous mobile robots (AMRs) are increasingly used in modern intralogistics systems as complexity and performance requirements become more stringent. One way to increase performance is to improve the operation and cooperation of multiple robots in their shared environment. The paper addresses the ...
Leto: 2021 Vir: Fakulteta za strojništvo (UL FS)
Distributed control with rationally bounded agents in cyber-physical production systems
Rok Vrabič, Dominik Kozjek, Andreja Malus, Viktor Zaletelj, Peter Butala
Izvirni znanstveni članek
Oznake: proizvodni sistem;porazdeljeno krmiljenje;večagentni sistem;manufacturing system;distributed control;multi-agent system;
Cyber-physical production systems are transforming traditional, hierarchical control structures into distributed ones in which the elements offer and consume services with a high degree of autonomy. This paper proposes an agent-based approach to distributed control for production environments in whi ...
Leto: 2018 Vir: Fakulteta za strojništvo (UL FS)
Bio-inspired traffic pattern generation for multi-AMR systems
Rok Vrabič, Andreja Malus, Jure Dvoršak, Gregor Klančar, Tena Žužek
Izvirni znanstveni članek
Oznake: autonomous mobile robots;ant colony optimization;logistics;
In intralogistics, autonomous mobile robots (AMRs) operate without predefined paths, leading to complex traffic patterns and potential conflicts that impact system efficiency. This paper proposes a bio-inspired optimization method for autonomously generating spatial movement constraints for autonomo ...
Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
ǂAn ǂarchitecture for sim-to-real and real-to-sim experimentation in robotic systems
Rok Vrabič, Gašper Škulj, Andreja Malus, Dominik Kozjek, Luka Selak, Drago Bračun, Primož Podržaj
Objavljeni znanstveni prispevek na konferenci
Oznake: robotika;simulacija;strojno učenje;spodbujevalno učenje;digitalni dvojčki;robotics;simulation;machine learning;reinforcement learning;digital twin;
Research in the area of robotic systems has greatly benefited from the use of simulation models. Recent approaches allow the transfer of developed algorithms from simulation to reality (sim-to-real) and increasingly accurate representations of real systems as simulation models (real-to-sim). The pap ...
Leto: 2021 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 8
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