Author name cluster

Marin Lujak

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

7 papers

2 author rows

ICRA Conference 2025 Conference Paper

Capacitated Agriculture Fleet Vehicle Routing with Implements and Limited Autonomy: A Model and a Two-Phase Solution Approach

Aitor López Sánchez
Marin Lujak
Frédéric Semet
Holger Billhardt

In this paper, we study the vehicle routing problem (VRP) for a fleet of cooperative autonomous agricultural robots (agribots) equipped with detachable implements, with the goal of efficiently and sustainably completing agricultural tasks in precision crop farming. State of the art in the area of agribot fleet routing with detachable implements is lacking. Consequently, we propose the Capacitated Agriculture Fleet Vehicle Routing Problem with Implements and Limited Autonomy (CAFVRPILA), designed to optimize the agribot fleet's routes across a set of given agricultural tasks while considering implement capacities, agribot-implement compatibilities, and agribots' limited battery autonomies. A heuristic two-phase decomposition approach is proposed for this problem. Simulation experiments show that minimizing travel distances and costs with CAFVRPILA enhances sustainable farming while maximizing productivity and resource use. The results also demonstrate that synchronizing multiple operations improves efficiency, particularly in larger fleets.

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EUMAS Conference 2017 Conference Paper

Towards Robots-Assisted Ambient Intelligence

Marin Lujak
Noury Bouraqadi
Arnaud Doniec
Luc Fabresse
Anthony Fleury
Abir-Beatrice Karami
Guillaume Lozenguez

Abstract An integrated network of mobile robots, personal smart devices, and smart spaces called “Robots-Assisted Ambient Intelligence” (RAmI) can provide for a more effective user assistance than if the former resources are used individually. Additionally, with the application of distributed network optimization, not only can we improve the assistance of an individual user, but we can also minimize conflict or congestion created when multiple users in large installations use the limited resources of RAmI that are spatially and temporally constrained. The emphasis of RAmI is on the efficiency and effectiveness of multiple and simultaneous user assistance and on the influence of an individual’s actions on the desired system’s performance. In this paper, we model RAmI as a multi-agent system with AmI, user, and robot agents. Moreover, we propose a modular three-layer architecture for each robot agent and discuss its application and communication requirements to facilitate efficient usage of limited RAmI resources. Our approach is showcased by means of a case study where we focus on meal and medicine delivery to patients in large hospitals.

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EUMAS Conference 2016 Conference Paper

A Proposal for Situation-Aware Evacuation Guidance Based on Semantic Technologies

Holger Billhardt
Jürgen Dunkel
Alberto Fernández 0002
Marin Lujak
Ramón Hermoso
Sascha Ossowski

Abstract Smart Cities require reliable means for managing installations that offer essential services to the citizens. In this paper we focus on the problem of evacuation of smart buildings in case of emergencies. In particular, we present a proposal for an evacuation guidance system that provides individualized evacuation support to people in case of emergencies. The system uses sensor technologies and Complex Event Processing to obtain information about the current situation of a building in each moment. Using semantic Web technologies, this information is merged with static knowledge (special user characteristics, building topology, evacuation knowledge) in order to determine (and dynamically update) the most appropriate individualized evacuation routes for each user.

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EUMAS Conference 2015 Conference Paper

Intelligent People Flow Coordination in Smart Spaces

Marin Lujak
Sascha Ossowski

Abstract In this paper, we present a short overview of the people flow coordination methods and propose a multi-agent based route recommender architecture for smart spaces which considers the influence of stress on human reactions to the recommended routes. The objective of the architecture is to ensure that people can efficiently move in and among smart spaces while at the same time improve the overall system performance. The functioning of the architecture is demonstrated on a case study. The proposed approach can be used, among others, in route recommendation in smart cities, large public events, and emergency evacuations.

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EUMAS Conference 2015 Conference Paper

Towards Smart Open Dynamic Fleets

Holger Billhardt
Alberto Fernández 0002
Marin Lujak
Sascha Ossowski
Vicente Julián
Juan Francisco de Paz
Josefa Z. Hernández

Abstract Nowadays, vehicles of modern fleets are endowed with advanced devices that allow the operators of a control center to have global knowledge about fleet status, including existing incidents. Fleet management systems support real-time decision making at the control center so as to maximize fleet performance. In this paper, setting out from our experience in dynamic coordination of fleet management systems, we focus on fleets that are open, dynamic and highly autonomous. Furthermore, we propose how to cope with the scalability problem as the number of vehicles grows. We present our proposed architecture for open fleet management systems and use the case of taxi services as example of our proposal.

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IS Journal 2014 Journal Article

Dynamic Coordination in Fleet Management Systems: Toward Smart Cyber Fleets

Holger Billhardt
Alberto Fernández
Lissette Lemus
Marin Lujak
Nardine Osman
Sascha Ossowski
Carles Sierra

Fleet management systems are commonly used to coordinate mobility and delivery services in a broad variety of domains. However, their traditional top-down control architecture becomes a bottleneck in open and dynamic environments, where scalability, proactiveness, and autonomy are becoming key factors for their success. Here, the authors present an abstract event-based architecture for fleet management systems that supports tailoring dynamic control regimes for coordinating fleet vehicles, and illustrate it for the case of medical emergency management. Then, they go one step ahead in the transition toward automatic or driverless fleets, by conceiving fleet management systems in terms of cyber-physical systems, and putting forward the notion of cyber fleets.

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EUMAS Conference 2014 Conference Paper

Optimizing Emergency Medical Assistance Coordination in After-Hours Urgent Surgery Patients

Marin Lujak
Holger Billhardt
Sascha Ossowski

Abstract This paper treats the coordination of Emergency Medical Assistance (EMA) and hospitals for after-hours surgeries of urgent patients arriving by ambulance. A standard hospital approach during night-shifts is to have standby surgery teams come to hospital after alert to cover urgent cases that cannot be covered by the in-house surgery teams. This approach results in a considerable decrease in staffing costs in respect to having sufficient permanent in-house staff. Therefore, coordinating EMA and the hospitals in a region with their outhouse staff with the objective to have as fast urgent surgery treatments as possible with minimized cost is a crucial parameter of the medical system efficiency and as such deserves a thorough investigation. In practice, the process is manual and the process management is case-specific, with great load on human phone communication. In this paper, we propose a decision support system for the automated coordination of hospitals, surgery teams on standby from home, and ambulances to decrease the time to surgery of urgent patients. The efficiency of the proposed model is proven over simulation experiments.

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