Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics
Proceedings of the Third European Conference on Advances in Artificial Life
Robot gaits evolved by combining genetic algorithms and binary hill climbing
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolving soft robotic locomotion in PhysX
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Roombots: mechanical design of self-reconfiguring modular robots for adaptive furniture
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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We present a configurable modular robotic system which is suitable for prototyping of various robotic concepts and a corresponding simulator which enables evolution of both morphology and control systems. The modular design has an emphasis on industrial configurations requiring solidity and precision, rather than rapid (self-)reconfiguration and a multitude of building blocks. As an initial validation, a three-axis industrial manipulator design has been constructed. Evolutionary experiments have been conducted using the simulator, resulting in plausible locomotion behavior for two experimental configurations.