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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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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6209993/ https://ncbi.nlm.nih.gov/pubmed/30301192 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18103336 |
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