Issues in evolutionary robotics
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Competitive co-evolutionary robotics: from theory to practice
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations
Proceedings of the Third European Conference on Advances in Artificial Life
Running Across the Reality Gap: Octopod Locomotion Evolved in a Minimal Simulation
Proceedings of the First European Workshop on Evolutionary Robotics
Blurred Vision: Simulation-Reality Transfer of a Visually Guided Robot
Proceedings of the First European Workshop on Evolutionary Robotics
Proceedings of the First European Workshop on Evolutionary Robotics
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Evolving mobile robots in simulated and real environments
Artificial Life
Ideal Evaluation from Coevolution
Evolutionary Computation
Adaptive learning application of the MDB evolutionary cognitive architecture in physical agents
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Bootstrapping aggregate fitness selection with evolutionary multi-objective optimization
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
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Reports on evolutionary robotics systems have so far been on evolving controllers that make simple robots do simple tasks in simple environments. In this paper we try to stress the evolutionary robotics approach by evolving a controller for a more complex task, namely Khepera robot soccer, and evaluate evolved controller performance against hand-coded controllers. We present a system that uses competitive coevolution to develop robot controllers for the task. The system is described, and performance of the system is documented. Co-evolution is tested against single-population evolution, and it is concluded that co-evolution has the ability to produce more robust individuals with respect to opponent strategies.