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Self Within Cultural Contexts01:30

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Cultural frameworks for understanding the self are often categorized into two broad orientations: individualism and collectivism. These paradigms influence how people define themselves, relate to others, and interpret their social worlds. Each orientation offers distinct perspectives on autonomy, responsibility, and the role of the individual within a community.Individualistic CulturesIn individualistic cultures like North America and Western Europe, identity is understood as autonomous and...
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Lev Vygotsky, a pioneering Russian psychologist, developed a theory of cognitive development that centers on the influence of social and cultural factors. Unlike Jean Piaget, who emphasized the child's direct interaction with the physical world as key to development, Vygotsky argued that cognitive growth is an interpersonal process that unfolds within a cultural context. For Vygotsky, a child's learning cannot be separated from their social environment, which includes the values,...
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¹H NMR of Labile Protons: Temporal Resolution01:10

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Assessing Body Temperature - Temporal Artery01:19

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Related Experiment Video

Updated: Feb 4, 2026

Olfactory Context Dependent Memory: Direct Presentation of Odorants
04:47

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

Seokjun Lee1, Incheol Kim2

  • 1Department of Computer Science, Kyonggi University, San 94-6, Yiui-dong, Youngtong-gu, Suwon-si 443-760, Korea. 20171102101@kyonggi.ac.kr.

Sensors (Basel, Switzerland)
|October 11, 2018
PubMed
Summary
This summary is machine-generated.

Service robots can now efficiently query past and present environmental context using a new spatio-temporal framework. This system enhances robot perception and recall for dynamic indoor navigation tasks.

Keywords:
context ontologyintelligent service robotrobotic context query

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Service robots require real-time environmental awareness, including dynamic changes and historical context.
  • Existing systems often struggle with efficient processing of spatio-temporal information for robots.

Purpose of the Study:

  • To propose a novel context query-processing framework for service robots.
  • To enable robots to query both current and past contextual information efficiently.

Main Methods:

  • Development of a spatio-temporal robotic context query language (ST-RCQL) and a query-processing system (ST-RCQP).
  • Design based on spatio-temporal context ontology, incorporating time operators and constants.
  • Implementation of a perception handler, working memory, and backward reasoner within ST-RCQP.
  • Utilizing a spatio-temporal index in working memory to accelerate query processing.

Main Results:

  • ST-RCQL allows efficient querying of historical and current context.
  • ST-RCQP demonstrates real-time query processing capabilities.
  • The spatio-temporal index significantly speeds up query processing.
  • Experiments confirm the high efficiency and performance of the framework.

Conclusions:

  • The proposed framework effectively addresses the need for context-aware service robots.
  • This approach enhances robot's ability to understand and react to dynamic environments.
  • The system offers a significant advancement in robotic context awareness and query processing.