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Incremental evolution of neural controllers for navigation in a 6-legged robot

Abstract

This paper describes how the SGOCE paradigm has been used within the context of a "minimal simulation" strategy to evolve neural networks controlling locomotion and obstacle-avoidance in a 6-legged robot. Such controllers have been first evolved through simulation and then successfully downloaded on the real robot.
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Dates and versions

hal-01574471 , version 1 (14-08-2017)

Identifiers

  • HAL Id : hal-01574471 , version 1

Cite

David Filliat, Jérôme Kodjabachian, Jean-Arcady Meyer. Incremental evolution of neural controllers for navigation in a 6-legged robot. 4th International Symposium on Artificial Life and Robotics, Jan 1999, Oita, Japan. pp.745-750. ⟨hal-01574471⟩
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