An Evolved Neural Controller for Bipdedal Walking with Dynamic Balance

Details An Evolved Neural Controller for Bipdedal Walking with Dynamic Balance An Evolved Neural Controller for Bipdedal Walking with Dynamic Balance

2009-07-10

arxiv.org/abs/0907.1839v1

Palmer, M.E. and Miller, D.B. An Evolved Neural Controller for Bipdedal Walking with Dynamic Balance. In Proceedings of the Ge

Computer Science

Neural and Evolutionary Computing

6 pages, 7 figures. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2009, Montreal

Scientific paper

We successfully evolved a neural network controller that produces dynamic walking in a simulated bipedal robot with compliant actuators, a difficult control problem. The evolutionary evaluation uses a detailed software simulation of a physical robot. We describe: 1) a novel theoretical method to encourage populations to evolve "around" local optima, which employs multiple demes and fitness functions of progressively increasing difficulty, and 2) the novel genetic representation of the neural controller.

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