Pushing with Soft Robotic Arms via Deep Reinforcement Learning
Soft robots can adaptively interact with unstructured environments. However, nonlinear soft material properties challenge modeling and control. Learning‐based controllers that leverage efficient mechanical models are promising for solving complex interaction tasks. This article develops a closed‐loo...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Wiley
2024-08-01
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| Serija: | Advanced Intelligent Systems |
| Teme: | |
| Online dostop: | https://doi.org/10.1002/aisy.202300899 |
| Oznake: |
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