ROSACE: Agent-Based Systems for Dynamic Task Allocation in Crisis Management

Lacouture, Jérôme; Gascueña, José Manuel; Gleizes, Marie Pierre; Glize, Pierre; Garijo, Francisco J.; Fernández-Caballero, Antonio

doi:10.1007/978-3-642-28786-2_32

Cited by 11 publications

(5 citation statements)

References 2 publications

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“…Software agents have been widely used to assist humans in complying with the schedules of a collaborative work process [Ahmed M et al, 2011] [Itaiwi et al, 2011] and task management applications [Lacouture, 2012]. Consequently, in this research, we exploit the software agent technology due to its autonomous, reactive, proactive and social ability characteristics [Mahmoud et al, 2014] [Mahmoud et al, 2013].…”

Section: Related Workmentioning

confidence: 99%

Research Supervision Management Via A Multi-Agent Framework

Jassim

Mahmoud

Ahmad

2014

ADCAIJ

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In this paper, we propose an agent-based framework to enhance, control and manage the research supervision process. The proposed framework consists of three phases which are Research Development Activities, Performance and Completion Measurement, and Tracking Activities. The Research Development Activities phase proposes a number of activities to develop a research. Performance and Completion Measurement phase works on measuring a student performance and expected completion date. The Tracking Activities phase presents the proposed activities to track and trigger a student's tasks. Four actors constitute the proposed framework which are, a supervisor, a student, a system administrator and a software agent. Each actor has a role and is authorized to perform specific functions. We discuss the components of the framework as possible implementation for a general application of research supervision management.

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Section: Related Workmentioning

confidence: 99%

Research Supervision Management Via A Multi-Agent Framework

Jassim

Mahmoud

Ahmad

2014

ADCAIJ

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“…This functionality was developed for applications that require a large amount of robots. Our use case is the rescue robotics project Rosace [22]. Its main objective is the coordination of robotic agents in search and rescue operations in the case of a disaster.…”

Section: Multi-node and Hybrid Simulationmentioning

confidence: 99%

Simulating Complex Robotic Scenarios with MORSE

Echeverria

Lemaignan

Degroote

et al. 2012

Simulation, Modeling, and Programming for Autonomous Robots

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MORSE is a robotic simulation software developed by roboticists from several research laboratories. It is a framework to evaluate robotic algorithms and their integration in complex environments, modeled with the Blender 3D real-time engine which brings realistic rendering and physics simulation. The simulations can be specified at various levels of abstraction. This enables researchers to focus on their field of interest, that can range from processing low-level sensor data to the integration of a complete team of robots. After nearly three years of development, MORSE is a mature tool with a large collection of components, that provides many innovative features: software-in-the-loop connectivity, multiple middleware support, configurable components, varying levels of simulation abstraction, distributed implementation for large scale multi-robot simulations and a human avatar that can interact with robots in virtual environments. This paper presents the current state of MORSE, highlighting its unique features in use cases.

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“…Nowadays, applications to design and problems to solve become more and more complex such as energy management [1], aircraft design [2], crisis management [3], maritime surveillance systems [4], ambient systems [5]... This complexity is due to a combination of aspects such as the great number of components involved in the applications, the fact that knowledge and control have to be distributed, the presence of non linear processes in the system, the fact that the system is more and more often open, its environment dynamic and the interactions unpredictable [6].…”

Section: Motivationsmentioning

confidence: 99%

Self-adaptive Complex Systems

Gleizes¹

2012

Multi-Agent Systems

Self Cite

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Nowadays and in the near future, the complexity of computer applications is exponentially increasing. This complexity comes from the inherent properties of such applications: the great number of their involved components, the distribution of their control and skills, the nonlinearity of their process and their increasing openness. This is also caused by the unpredictable coupling with their environment due to high dynamicity. To fulfill these requirements, systems have to adapt themselves in order to be robust and efficient. This paper will deal with self-adaptation in software systems, particularly from a multi-agent viewpoint and will focus on the Adaptive Multi-Agent Systems theory.1 SMAC Systèmes Multi-Agents Coopératifs www.irit.fr/SMAC 2 www.upetec.fr

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ROSACE: Agent-Based Systems for Dynamic Task Allocation in Crisis Management

Cited by 11 publications

References 2 publications

Research Supervision Management Via A Multi-Agent Framework

Research Supervision Management Via A Multi-Agent Framework

Simulating Complex Robotic Scenarios with MORSE

Self-adaptive Complex Systems

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