Learning Bipedal Walking Through Morphological Development

Bibliographic citation

Naya-Varela, M., Faina, A., Duro, R.J. (2021). Learning Bipedal Walking Through Morphological Development. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2021. Lecture Notes in Computer Science(), vol 12886. Springer, Cham. https://doi.org/10.1007/978-3-030-86271-8_16

Type of academic work

Academic degree

Abstract

[Abstract]: Morphological development has shown its efficiency in improving learning and adaptation to the environment in natural organisms from infancy to adulthood. In the case of robot learning, this is not so clear. The results of a series of experiments that have been carried out in previous work have allowed us to extract, from an analytical perspective, some notions about how and under what conditions morphological development may influence learning. In this paper, we want to adopt an engineering or synthesis perspective and test whether these notions can be used to construct a successful morphological development strategy for a difficult task: learning bipedal locomotion. In particular, we have addressed learning to walk in a 14 degrees of freedom NAO type robot and have designed a morphological development strategy to this end. The results obtained have allowed us to validate the relevance of the assumptions made for the design and implementation of a morphological development strategy.

Description

This version of the conference paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use ((https://www.springernature.com/gp/open-science/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-86271-8_16.
Included in: 'Hybrid Artificial Intelligent Systems', the 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings.

Rights

©2021 Springer International Publishing AG. Subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-science/policies/accepted-manuscript-terms).