Synchronization of pulse-coupled biological oscillators
SIAM Journal on Applied Mathematics
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Sync: The Emerging Science of Spontaneous Order
Sync: The Emerging Science of Spontaneous Order
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Autonomous Robots
Swarm-Bot: A New Distributed Robotic Concept
Autonomous Robots
Evolving Self-Organizing Behaviors for a Swarm-Bot
Autonomous Robots
Synchronization of Internal Neural Rhythms in Multi-Robotic Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Cooperation through self-assembly in multi-robot systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Synchronization and gait adaptation in evolving hexapod robots
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
The emergence of communication by evolving dynamical systems
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Towards artificial evolution of complex behaviors observed in insect colonies
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
A survey of swarm robotics system
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
GESwarm: grammatical evolution for the automatic synthesis of collective behaviors in swarm robotics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Hi-index | 0.00 |
Self-organized synchronization is a common phenomenon observed in many natural and artificial systems: simple coupling rules at the level of the individual components of the system result in an overall coherent behavior. Owing to these properties, synchronization appears particularly interesting for swarm robotics systems, as it allows robust temporal coordination of the group while minimizing the complexity of the individual controllers. The goal of the experiments presented in this paper is the study of self-organizing synchronization for robots that present an individual periodic behavior. In order to design the robot controllers, we make use of artificial evolution, which proves to be capable of synthesizing minimal synchronization strategies based on the dynamical coupling between robots and environment. The obtained results are analyzed under a dynamical system perspective, which allows us to uncover the evolved mechanisms and to predict the scalability properties of the self-organizing synchronization with respect to varying group size.