Swarm Robotics: Remarks on Terminology and Classification

Zakiev, Aufar; Tsoy, Tatyana; Magid, Evgeni

doi:10.1007/978-3-319-99582-3_30

“…As mentioned in (Zakiev et al, 2018a), inter-robot communications and sensing are limited to be only local. This property is directly inherited from natural swarms, which heavily rely on local interactions for cooperation (Tan & Zheng, 2013).…”

Section: Local Interactionsmentioning

confidence: 99%

Future mobility as a bio-inspired collaborative system

Sanchez¹,

Gonzalez²,

Pastor³

et al. 2021

Preprint

2

1

0

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The current trends towards vehicle-sharing, electrification, and autonomy are predicted to transform mobility. Combined appropriately, they have the potential of significantly improving urban mobility. However, what will come after most vehicles are shared, electric, and autonomous remains an open question, especially regarding the interactions between vehicles and how these interactions will impact system-level behaviour. Inspired by nature and supported by swarm robotics and vehicle platooning models, this paper proposes a future mobility in which shared, electric, and autonomous vehicles behave as a bio-inspired collaborative system. The collaboration between vehicles will lead to a system-level behaviour analogous to natural swarms. Natural swarms can divide tasks, cluster, build together, or transport cooperatively. In this future mobility, vehicles will cluster by connecting either physically or virtually, which will enable the possibility of sharing energy, data or computational power, provide services or transfer cargo, among others. Vehicles will collaborate either with vehicles that are part of the same fleet, or with any other vehicle on the road, by finding mutualistic relationships that benefit both parties. The field of swarm robotics has already translated some of the behaviours from natural swarms to artificial systems and, if we further translate these concepts into urban mobility, exciting ideas emerge. Within mobility-related research, the coordinated movement proposed in vehicle platooning models can be seen as a first step towards collaborative mobility. This paper contributes with the proposal of a framework for future mobility that integrates current research and mobility trends in a novel and unique way.

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“…Swarm robots are characterised by some interesting properties, defined by G. Beni (Beni, 2004) and completed by others (Sahin, 2004;Tan & Zheng, 2013;Zakiev, Tsoy, & Magid, 2018a). As will be discussed in the next sections, we believe that most of these characteristics remain of interest when applied to urban mobility systems:…”

Section: Instead Defines What He Named As Cellular Robotic System (Crs)mentioning

confidence: 99%

Future mobility as a bio-inspired collaborative system

Sanchez¹,

Gonzalez²,

Pastor³

et al. 2021

Preprint

0

View full text Add to dashboard Cite

The current trends towards vehicle-sharing, electrification, and autonomy are predicted to transform mobility. Combined appropriately, they have the potential of significantly improving urban mobility. However, what will come after most vehicles are shared, electric, and autonomous remains an open question, especially regarding the interactions between vehicles and how these interactions will impact system-level behaviour. Inspired by nature and supported by swarm robotics and vehicle platooning models, this paper proposes a future mobility in which shared, electric, and autonomous vehicles behave as a bio-inspired collaborative system. The collaboration between vehicles will lead to a system-level behaviour analogous to natural swarms. Natural swarms can divide tasks, cluster, build together, or transport cooperatively. In this future mobility, vehicles will cluster by connecting either physically or virtually, which will enable the possibility of sharing energy, data or computational power, provide services or transfer cargo, among others. Vehicles will collaborate either with vehicles that are part of the same fleet, or with any other vehicle on the road, by finding mutualistic relationships that benefit both parties. The field of swarm robotics has already translated some of the behaviours from natural swarms to artificial systems and, if we further translate these concepts into urban mobility, exciting ideas emerge. Within mobility-related research, the coordinated movement proposed in vehicle platooning models can be seen as a first step towards collaborative mobility. This paper contributes with the proposal of a framework for future mobility that integrates current research and mobility trends in a novel and unique way.

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“…En el campo de la robótica existen múltiples términos como sistemas multirobot, sistemas multi-agente, enjambres robóticos o redes de sensores que generalmente se usan indistintamente para referirse a grupos formados por más de un robot trabajando de forma coordinada en un misma área (109). Si bien, este concepto general se mantiene en cada subgrupo, cada uno de los términos presenta unas características particulares: En (133), se presenta un algoritmo de búsqueda, para equipos de robots móviles, que permite explorar y recolectar información del entorno para proporcionar puntos de interés de alta prioridad.…”

Section: Metodologías Actuales Aplicadas a La Cooperación En Enjambresunclassified

Obstacle Avoidance Manager for UAVs Swarm

Madridano

¹

,

Al-Kaff

²

,

Flores³

et al. 2020

2020 International Conference on Unmanned Aircraft Systems (ICUAS)

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En primer lugar, agradecer a mis directores académicos, Arturo y David y, a Pablo en Drone Hopper, por acompañarme a lo largo de esta etapa que hoy está más cerca de culminarse. Gracias por la ayuda prestada, por hacerme crecer, en el ámbito profesional y en el personal. Gracias por conar en mí y permitir que, junto a Drone Hopper, haya podido cerrar una etapa tan importante.Aunque si algo me ha llevado hoy a escribir estas líneas es formar parte, durante 5 años, de una familia como el LSI, incluida esa nueva generación de chavalitos, que han hecho del B16 un lugar donde nuca sentirse solo. El principal culpable de ello es Fernando. Fue él quien me brindó la oportunidad de trabajar con gente tan buena como la que aquí trabaja y ha trabajado, porque echando la vista atrás, no puedo olvidarme de personas cómo Noelia, Ricardo o Dani con las que ha sido un verdadero placer trabajar y, que junto al resto, han contribuido a que cada día uno se sienta afortunado de formar parte de un grupo humano como este.Dentro de esta gran familia hay otra persona que merece una mención aparte, no es otro que Abdulla, un amigo más que un compañero de trabajo. Sólo él sabe lo duro que, durante muchos momentos, ha sido esto y, sus palabras, su ayuda y su trabajo han hecho posible que las dudas se despejaran y continuara trabajando por llegar hoy a escribir estas líneas.Al escribir estas líneas no puedo olvidarme de un grupo de personas que durante esta etapa han sido más que compañeros de trabajo, han sido amigos, aquellas personas con las que compartir las alegrías y penas del día a día, gente como Carlos, María, Irene, Fran o Jorge que me han ayudado y apoyado de manera especial a lo largo de esta dura etapa, la cual Jorge advirtió y yo no hice caso.Tampoco puedo terminar este párrafo sin agradecer a Sergio y Alejandro todo el trabajo de estos últimos meses, por hacer más fácil y llevadera la vuelta a la normalidad y por estar codo con codo en las últimas fases de este trabajo.Por último, gracias a mi verdadera familia, a unos padres y hermanas que han sido un espejo dónde mirarse, a los que les debo y, sin los cuáles, no habría llegado hoy a escribir este trabajo. Y gracias a ti, Olga, por comprenderme, soportarme y ayudarme en estos duros meses y, sobre todo, por dar sentido a mi vida de la manera en la que lo has hecho.

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Swarm Robotics: Remarks on Terminology and Classification

Cited by 25 publications

References 30 publications

Future mobility as a bio-inspired collaborative system

Future mobility as a bio-inspired collaborative system

Future mobility as a bio-inspired collaborative system

Obstacle Avoidance Manager for UAVs Swarm

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