A survey and analysis of task allocation algorithms in multi-robot systems

Jia, Xiao Yi; Meng, Max Q.-H.

doi:10.1109/robio.2013.6739809

Cited by 29 publications

(17 citation statements)

References 28 publications

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“…Afterward, micROS implements specific task and path planning according to the objective of the high-level strategy, while considering the capabilities of each robot in the team. This planning process invokes optimization methods for computing the task allocation and action sequences for individual robots [26, 27]. …”

Section: Methodsmentioning

confidence: 99%

micROS: a morphable, intelligent and collective robot operating system

Yang

Dai

et al. 2016

Robot. Biomim.

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Robots are developing in much the same way that personal computers did 40 years ago, and robot operating system is the critical basis. Current robot software is mainly designed for individual robots. We present in this paper the design of micROS, a morphable, intelligent and collective robot operating system for future collective and collaborative robots. We first present the architecture of micROS, including the distributed architecture for collective robot system as a whole and the layered architecture for every single node. We then present the design of autonomous behavior management based on the observe–orient–decide–act cognitive behavior model and the design of collective intelligence including collective perception, collective cognition, collective game and collective dynamics. We also give the design of morphable resource management, which first categorizes robot resources into physical, information, cognitive and social domains, and then achieve morphability based on self-adaptive software technology. We finally deploy micROS on NuBot football robots and achieve significant improvement in real-time performance.

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Section: Methodsmentioning

confidence: 99%

micROS: a morphable, intelligent and collective robot operating system

Yang

Dai

et al. 2016

Robot. Biomim.

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“…La planificación de tareas se puede descomponer en dos problemas (Yan et al, 2013): descomposición en tareas, que consiste en la división de la misión en tareas que pueden ser realizadas por un robot, y reparto de tareas, que consiste en la asignación de estas tareas a los robots buscando optimizar la misión. Este último problema es muy relevante en la literatura (Mosteo et al, 2010;Jia et al, 2013;Jiang, 2016;Khamis et al, 2015) y merece un análisis más en profundidad.…”

Section: Referenciaunclassified

Una revisión de los sistemas multi-robot: desafíos actuales para los operadores y nuevos desarrollos de interfaces

Roldán‐Gómez

Rivas

Garcia-Aunon

et al. 2020

Rev. iberoam. autom. inform. ind.

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<p class="icsmabstract">Los sistemas multi-robot están experimentando un gran desarrollo en los últimos tiempos, ya que mejoran el rendimiento de las misiones actuales y permiten realizar nuevos tipos de misiones. Este artículo analiza el estado del arte de los sistemas multi-robot, abordando un conjunto de temas relevantes: misiones, flotas, operadores, interacción humano-sistema e interfaces. La revisión se centra en los retos relacionados con factores humanos como la carga de trabajo o la conciencia de la situación, así como en las propuestas de interfaces adaptativas e inmersivas para solucionarlos.</p>

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“…Several overview articles are written on the coordination and task allocation research performed with the RoboCup Rescue Agent simulator [37,38]. As indicated by Ferreira et al [39], generic algorithms tend to be outperformed the methods applied by the winners of the RoboCup Rescue Agent competition [40], which use various heuristics based on a-priori knowledge on the domain.…”

Section: Agent Competitionmentioning

confidence: 99%