Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

During their lifetime, superorganisms, like unitary organisms, undergo transformations that
change the machinery of their collective behaviour. Here, we suggest that these …

Collective behaviour is typically thought to arise from individuals following fixed interaction
rules. The possibility that interaction rules may change under different circumstances has …

How does the size of a swarm affect its collective action? Despite being arguably a key
parameter, no systematic and satisfactory guiding principles exist to select the number of …

How does the spread of behavior affect consensus-based collective decision-making among
animals, humans or swarming robots? In prior research, such propagation of behavior on …

We introduce and analyze a continuous time and state-space model of opinion cascades on
networks of large numbers of agents that form opinions about two or more options. By …

Dynamic target search and tracking represents one of the most challenging problems for
multi-agent systems. Effective strategies are critically needed to address numerous real …

Projects on unmanned aerial vehicle (UAV) swarms have been initiated in a big way in the
last few years, especially from 2015 to 2016. As a result, the number of related works on …

Decentralised systems composed of a large number of locally interacting agents often rely
on coherent behaviour to execute coordinated tasks. Agents cooperate to reach a coherent …

We focus on the online multi-object k-coverage problem (OMOkC), where mobile robots are
required to sense a mobile target from k diverse points of view, coordinating themselves in a …