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SWARM-ORGAN

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A theoretical framework for swarms of GRN controlled agents which display adapti...

A theoretical framework for swarms of GRN controlled agents which display adaptive tissue like organisation The Swarm-Organ project focuses on systems containing large numbers of autonomous but relatively simple agents, whose goal is to collectively organise themselves into complex spatial arrangements despite each agent having only loc... ver más

30/09/2016

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3M€

Presupuesto del proyecto: 3M€

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FUNDACIO PRIVADA CENTRE DE REGULACIO GENOMICA Otras actividades deportivas asociacion

TRL 4-5 | 50K€

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Líder del proyecto

FUNDACIO PRIVADA CENTRE DE REGULACIO GENOMICA Otras actividades deportivas asociacion

TRL 4-5 | 50K€

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The Swarm-Organ project focuses on systems containing large numbers of autonomous but relatively simple agents, whose goal is to collectively organise themselves into complex spatial arrangements despite each agent having only local awareness. This particular question is directly relevant to both biological morphogenesis, and to new paradigms of distributed technology such as robotic swarms and amorphous computing. Two levels of adaptation are either evident or required in these systems: (1) As the whole system changes over time, individual agents find themselves in different local situations and must adapt and adjust their behavior accordingly, for example dealing with conflict resolution and/or cooperation with neighbours. (2) The swarm must also adapt to the outside world (or the world it is embedded in) in various ways depending on its task – for example, coping with damage, maintaining functionality under changing environmental conditions, or tracking objects. A fundamental challenge in this field is how to design the local control system of each agent, and the Swarm-Organ project will extensively explore a specific approach – namely the use of GRNs (gene regulatory networks) – as a potentially powerful control method for these systems. By focusing on GRNs we will develop a theoretical framework about distributed adaptive control, which will be equally informative to both natural biological morphogenesis, as well as next generation technologies in robotics and computation.

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