A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology

Service robots operating in indoor environments should recognize dynamic changes from sensors, such as RGB-depth (RGB-D) cameras, and recall the past context. Therefore, we propose a context query-processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and a spatio-...

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Detalles Bibliográficos
Autores principales: Lee, Seokjun, Kim, Incheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209993/
https://www.ncbi.nlm.nih.gov/pubmed/30301192
http://dx.doi.org/10.3390/s18103336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209993/
https://www.ncbi.nlm.nih.gov/pubmed/30301192
http://dx.doi.org/10.3390/s18103336

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