Collective robotics: from social insects to robots
Adaptive Behavior
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
An Behavior-based Robotics
Cooperation through self-assembly in multi-robot systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Autonomous Self-Assembly in Swarm-Bots
IEEE Transactions on Robotics
Adaptive action selection without explicit communication formultirobot box-pushing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Robustness of market-based task allocation in a distributed satellite system
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
BeeIP - A Swarm Intelligence based routing for wireless ad hoc networks
Information Sciences: an International Journal
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In social insect colonies, many tasks are performed by higher-order entities, such as groups and teams whose task solving capacities transcend those of the individual participants. In this paper, we investigate the emergence of such higher-order entities using a colony of up to 12 physical robots. We report on an experimental study in which the robots engage in a range of different activities, including exploration, path formation, recruitment, self-assembly and group transport. Once the robots start interacting with each other and with their environment, they self-organise into teams in which distinct roles are performed concurrently. The system displays a dynamical hierarchy of teamwork, the cooperating elements of which comprise higher-order entities. The study shows that teamwork requires neither individual recognition nor inter-individual differences, and as such might contribute to the ongoing debate on the role of such characteristics for the division of labour in social insects.