| アイテムタイプ |
itemtype_ver1(1) |
| 公開日 |
2024-06-03 |
| タイトル |
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|
タイトル |
Investigating the effects of material ratio scenarios on soft robot design based on morphology–material–control coevolution |
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言語 |
en |
| 著者 |
Shimaoka, Nanako
Suzuki, Reiji
Arita, Takaya
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| アクセス権 |
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|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
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|
権利情報 |
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, 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: http://dx.doi.org/10.1007/s10015-023-00934-3 |
|
言語 |
en |
| 内容記述 |
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内容記述タイプ |
Abstract |
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内容記述 |
This study explores the influence of material selection scenarios on the evolutionary design of soft robots. Soft robots have vast potential applications that rigid robots cannot accomplish due to their lightweight and flexible nature. Despite rapid development of soft robotics in recent years, its effective automatic design method remains undeveloped. To combat this, evolutionary computation has been proposed for automatic soft robot design. Material selection has been identified as crucial in influencing the outcomes of autonomously designed soft robots, yet understanding of its impacts remains limited, particularly in changing material selection scenarios across generations. In this study, we hypothesized that these changing scenarios could influence the evolved robots. Initial experiments, based on travel distance and energy efficiency, suggested material selection could greatly impact the final robot. Further experiments, adjusting material ratio and rewarding specific material use, identified how certain material selection scenarios led to changes in the structure and performance of the evolved soft robots. These findings contribute to automatic design methodologies in soft robotics. |
|
言語 |
en |
| 出版者 |
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|
出版者 |
Springer |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| 資源タイプ |
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|
資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| 出版タイプ |
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|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
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|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1007/s10015-023-00934-3 |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
|
収録物識別子 |
1433-5298 |
| 書誌情報 |
en : Artificial Life and Robotics
巻 29,
号 2,
p. 298-310,
発行日 2024-05
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| ファイル公開日 |
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|
日付 |
2025-05-01 |
|
日付タイプ |
Available |
arobjournal_final.pdf (8.6 MB)
