SELECTSCRIPT: A query language for robotic world models and simulations

Dietrich, André; Zug, Sebastian; Kaiser, Jörg

doi:10.1109/icra.2015.7140077

Cited by 3 publications

(8 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another query language is SELECTSCRIPT [18], which constructs queries for XML-based simulation files that are continuously updated. In particular, SELECTSCRIPT supports embedded binary operators that can query spatial relations in the WHERE clause and supports the function to obtain the results in the form of prolog predicate logic.…”

Section: Context Query Languagementioning

confidence: 99%

See 1 more Smart Citation

A Robotic Context Query-processing Framework based on Spatio-temporal Context Ontology

Lee

Kim

2018

Preprint

View full text Add to dashboard Cite

Service robots operating in indoor environments should recognize dynamic changes from sensors, such as RGB-D camera, and recall the past context. Therefore, we propose a context query-processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and spatio-temporal robotic context query-processing system (ST-RCQP), for service robots. We designed them based on the spatio-temporal context ontology. ST-RCQL can query not only the current context knowledge but also the past. In addition, ST-RCQL includes a variety of time operators and time constants, and thus queries can be written very efficiently. The ST-RCQP is a query-processing system equipped with a perception handler, working memory, and backward reasoner for real-time query-processing. Moreover, ST-RCQP accelerates query-processing speed by building a spatio-temporal index in the working memory, where percepts are stored. Through various qualitative and quantitative experiments, we demonstrate the high efficiency and performance of the proposed context query-processing framework.

show abstract

Section: Context Query Languagementioning

confidence: 99%

“…The existing works on robot context query include OpenRobots Ontology (ORO) [16], KnowRob [17], and SELECTSCRIPT [18]. ORO provides a knowledge-query API based on SPARQL [19], which is a semantic Web query language, and ORO can thus retrieve and manipulate knowledge written in RDF.…”

Section: Introductionmentioning

confidence: 99%

A Robotic Context Query-processing Framework based on Spatio-temporal Context Ontology

Lee

Kim

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Another query language is SELECTSCRIPT [ 18 ], which constructs queries for XML (eXtensible Markup Language)-based simulation files that are continuously updated. In particular, SELECTSCRIPT supports embedded binary operators that can query spatial relations in the WHERE clause and supports the function to obtain the results in the form of prolog predicate logic.…”

Section: Related Workmentioning

confidence: 99%

“…The existing work on robot context query includes OpenRobots Ontology (ORO) [ 16 ], KnowRob [ 17 ], and SELECTSCRIPT [ 18 ]. ORO provides a knowledge-query API (Application Programming Interface) based on SPARQL (a semantic query language able to retrieve and manipulate data stored in RDF (Resource Description Framework)) [ 19 ], which is a semantic Web query language, and ORO can thus retrieve and manipulate knowledge written in RDF (Resource Description Framework).…”

Section: Introductionmentioning

confidence: 99%

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

Lee

Kim

2018

Sensors

View full text Add to dashboard Cite

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-temporal robotic context query-processing system (ST-RCQP), for service robots. We designed them based on spatio-temporal context ontology. ST-RCQL can query not only the current context knowledge, but also the past. In addition, ST-RCQL includes a variety of time operators and time constants; thus, queries can be written very efficiently. The ST-RCQP is a query-processing system equipped with a perception handler, working memory, and backward reasoner for real-time query-processing. Moreover, ST-RCQP accelerates query-processing speed by building a spatio-temporal index in the working memory, where percepts are stored. Through various qualitative and quantitative experiments, we demonstrate the high efficiency and performance of the proposed context query-processing framework.

show abstract

“…We have developed SelectScript [1] as a consequence to the growing complexity of (robotic) world models and discrete simulation environments that we are confronted with in our everyday scientific life. If we look at the world of robotics, smart environments, or cyber-physical systems, all of the entities within such newly developing ecologic systems posses their own simulation of the environment.…”

Section: Introductionmentioning

confidence: 99%

Reasoning in complex environments with the SelectScript declarative language

Dietrich¹,

Zug²,

Nardi³

et al. 2015

Preprint

Self Cite

View full text Add to dashboard Cite

SelectScript is an extendable, adaptable, and declarative domainspecific language aimed at information retrieval from simulation environments and robotic world models in an SQL-like manner. In this work we have extended the language in two directions. First, we have implemented hierarchical queries; second, we improve efficiency enabling manual design space exploration on different "search" strategies. As depicted in the teaser above, we demonstrate the applicability of such extensions in two application problems; the basic language concepts are explained by solving the classical problem of the Towers of Hanoi and then a common path planning problem in a complex 3D environment is implemented.

show abstract

SELECTSCRIPT: A query language for robotic world models and simulations

Cited by 3 publications

References 19 publications

A Robotic Context Query-processing Framework based on Spatio-temporal Context Ontology

A Robotic Context Query-processing Framework based on Spatio-temporal Context Ontology

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

Reasoning in complex environments with the SelectScript declarative language

Contact Info

Product

Resources

About