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Learning Bipedal Walking Through Morphological Development

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 2021

Publication status

Published - 2021

Publisher

Springer, United States, Germany

Book series

  • Book series name: Lecture Notes in Computer Science
    ISSN: 0302-9743
978-3-030-86270-1

ISBN (Electronic)

978-3-030-86271-8

Publication IDs

  • Scopus: 85115826957

Host publication title

Proceedings of the 16th International Conference on Hybrid Artificial Intelligence Systems

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.

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Citations
4
Captures
6

Related Event

Title

International Conference on Hybrid Artificial Intelligence Systems

Event type

Conference

Degree of recognition

International event

Date

22/09/2021 - 24/09/2021

Location

BilbaoSpain