Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference

This study investigated how a physical robot can adapt goal-directed actions in dynamically changing environments, in real-time, using an active inference-based approach with incremental learning from human tutoring examples. Using our active inference-based model, while good generalization can be a...

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Detalles Bibliográficos
Autores principales: Matsumoto, Takazumi, Ohata, Wataru, Tani, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670890/
https://www.ncbi.nlm.nih.gov/pubmed/37998198
http://dx.doi.org/10.3390/e25111506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670890/
https://www.ncbi.nlm.nih.gov/pubmed/37998198
http://dx.doi.org/10.3390/e25111506

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