Publication
On the application of CMA-ES to biped walk
Technical Report (2017)
Authors
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Suárez Hernández, Alejandro
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Miralles Pena, Carles
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Medina Herrera, Salvador
Abstract
This project studies the applicability of Covariance Matrix Adaptation Evolution Strategies to enable a biped robot to walk with no previous knowledge. While most work on the subject is based on Genetic Algorithms, we believe that CMA-ES shows indeed great potential. Our work focuses on the Darwin robot, although it can be easily extrapolated to other humanoids. The evaluation of the solutions' goodness is performed via simulation to keep the real robot away from potential harm.
Categories
artificial life, humanoid robots, learning (artificial intelligence).
Author keywords
biped walking, evolutionary algorithms, genetic algorithms, evolution strategies
Scientific reference
A. Suárez, C. Miralles and S. Medina. On the application of CMA-ES to biped walk. Technical Report IRI-TR-17-03, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2017.
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