Closed-loop optimization of tetris-inspired robotic morphology evolution
The optimization of robotic morphology in smart manufacturing faces dual challenges of high-dimensional parameter spaces and limited experimental resources. This study proposes a closed-loop framework that integrates hybrid Bayesian optimization with physical experimentation to efficiently identify...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2025-09-01
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| Schriftenreihe: | Materials & Design |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S0264127525009530 |
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