Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Swarm-Bot: A New Distributed Robotic Concept
Autonomous Robots
Evolution of Solitary and Group Transport Behaviors for Autonomous Robots Capable of Self-Assembling
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Autonomous Reconfiguration in a Self-assembling Multi-robot System
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Evolutionary robotics: the next-generation-platform for on-line and on-board artificial evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
EvAg: a scalable peer-to-peer evolutionary algorithm
Genetic Programming and Evolvable Machines
Swarm robotics: from sources of inspiration to domains of application
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Autonomous Self-Assembly in Swarm-Bots
IEEE Transactions on Robotics
An on-line on-board distributed algorithm for evolutionary robotics
EA'11 Proceedings of the 10th international conference on Artificial Evolution
On-line evolution of controllers for aggregating swarm robots in changing environments
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
A comparison between different encoding strategies for snake-like robot controllers
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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We investigate whether a swarm of robots can evolve controllers that cause aggregation into ‘multi-cellular' robot organisms without a specific reward to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy distribution and the level of advantage aggregated robots have over individual ones. The results show that ‘multi-cellular' robot organisms emerge in all of these cases.