Hybrid Imitation Learning Framework for Robotic Manipulation Tasks

This study proposes a novel hybrid imitation learning (HIL) framework in which behavior cloning (BC) and state cloning (SC) methods are combined in a mutually complementary manner to enhance the efficiency of robotic manipulation task learning. The proposed HIL framework efficiently combines BC and...

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Detalles Bibliográficos
Autores principales: Jung, Eunjin, Kim, Incheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153608/
https://www.ncbi.nlm.nih.gov/pubmed/34068422
http://dx.doi.org/10.3390/s21103409

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153608/
https://www.ncbi.nlm.nih.gov/pubmed/34068422
http://dx.doi.org/10.3390/s21103409

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