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...

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Detalles Bibliográficos
Autores principales: Nazeer, Muhammad Sunny, Laschi, Cecilia, Falotico, Egidio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574889/
https://www.ncbi.nlm.nih.gov/pubmed/37837107
http://dx.doi.org/10.3390/s23198278

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