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Concurrent optimization of modular robots for planetary landforms:A terrain-guided approach based on STGCN-GA

Peng Zhao Meibao Yao Xueming Xiao Hutao Cui

航天动力学（英文）2025，Vol.9Issue(5)：689-711,23.

航天动力学（英文）2025，Vol.9Issue(5)：689-711,23.DOI:10.1007/s42064-024-0259-8

Concurrent optimization of modular robots for planetary landforms:A terrain-guided approach based on STGCN-GA

Peng Zhao ¹Meibao Yao ¹Xueming Xiao ²Hutao Cui³

作者信息

1. School of Artificial Intelligence,Jilin University,Changchun 130012,China
2. CVIR Lab,Changchun University of Science and Technology,Changchun 130013,China
3. Deep Space Exploration Research Center,Harbin Institute of Technology,Harbin 150006,China
折叠

摘要

关键词

modular robotics/evolutionary optimization/graph neural network/terrain-guided planning

Key words

modular robotics/evolutionary optimization/graph neural network/terrain-guided planning

引用本文复制引用

Peng Zhao,Meibao Yao,Xueming Xiao,Hutao Cui..Concurrent optimization of modular robots for planetary landforms:A terrain-guided approach based on STGCN-GA[J].航天动力学（英文）,2025,9(5):689-711,23.

基金项目

This work was sponsored by the National Natural Science Foundation of China through Grant No.52472448,No.62103163,and No.U2341214.We thank the above mentioned funds for their financial support. （）

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