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Soft DAgger: Sample-Efficient Imitation Learning for Control of Soft Robots
This paper presents Soft DAgger, an efficient imitation learning-based approach for training control solutions for soft robots. To demonstrate the effectiveness of the proposed algorithm, we implement it on a two-module soft robotic arm involved in the task of writing letters in 3D space. Soft DAgge...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574889/ https://www.ncbi.nlm.nih.gov/pubmed/37837107 http://dx.doi.org/10.3390/s23198278 |