Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Multimode locomotion via SuperBot reconfigurable robots
Autonomous Robots
Evolution of fuzzy behaviors for multi-robotic system
Robotics and Autonomous Systems
Evolutionary Function Approximation for Reinforcement Learning
The Journal of Machine Learning Research
Evolutionary Swarm Robotics: Evolving Self-Organising Behaviours in Groups of Autonomous Robots (Studies in Computational Intelligence) (Studies in Computational Intelligence)
Fitness functions in evolutionary robotics: A survey and analysis
Robotics and Autonomous Systems
Competitive coevolution through evolutionary complexification
Journal of Artificial Intelligence Research
Symbricator3D --- A Distributed Simulation Environment for Modular Robots
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Evolving keepaway soccer players through task decomposition
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Fractal gene regulatory networks for robust locomotion control of modular robots
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
HyperNEAT for locomotion control in modular robots
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Autonomous evolution of dynamic gaits with two quadruped robots
IEEE Transactions on Robotics
Impact of neuron models and network structure on evolving modular robot neural network controllers
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Natural Computing: an international journal
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The challenging scientific field of self-reconfiguring modular robotics (i.e., decentrally controlled 'super-robots' based on autonomous, interacting robot modules with variable morphologies) calls for novel paradigms of designing robot controllers. One option is the approach of evolutionary robotics. In this approach, the challenge is to achieve high evaluation numbers with the available resources which may even affect the feasibility of this approach. Simulations are usually applied at least in a preliminary stage of research to support controller design. However, even simulations are computationally expensive which gets even more burdensome once comprehensive studies and comparisons between different controller designs and approaches have to be done. Hence, a benchmark with low computational cost is needed that still contains the typical challenges of decentral control, is comparable, and easily manageable. We propose such a benchmark and report an empirical study of its characteristics including the transition from the single-robot setting to the multi-robot setting, typical local optima, and properties of adaptive walks through the fitness landscape.