Integrating Ontological Domain Knowledge into a Robotic DSL

Lortal, Gaëlle; Dhouib, Saadia; Gérard, Sébastien

doi:10.1007/978-3-642-21210-9_39

Cited by 13 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, the domain concepts that are required while designing the DSL is derived from the ontology. The ontology is used for two purposes -to normalize the robot domain concepts and to act as an inference mechanism during runtime [18]. However, it is not clear from the literature how the ontologies can effectively be used for modeling developmental and run-time models.…”

Section: Feature Analysismentioning

confidence: 99%

Model-driven software development approaches in robotics research

Ramaswamy

Monsuez

Tapus

2014

Proceedings of the 6th International Workshop on Modeling in Software Engineering

View full text Add to dashboard Cite

Recently, there is an encouraging trend in adopting modeldriven engineering approaches for software development in robotics research. In this paper, currently available modeldriven techniques in robotics are analyzed with respect to the domain-specific requirements. A conceptual overview of our software development approach called 'Self Adaptive Framework for Robotic Systems (SafeRobots)' is explained and we also try to position our approach within this model ecosystem.

show abstract

Section: Feature Analysismentioning

confidence: 99%

Model-driven software development approaches in robotics research

Ramaswamy

Monsuez

Tapus

2014

Proceedings of the 6th International Workshop on Modeling in Software Engineering

View full text Add to dashboard Cite

show abstract

“…Within the robotic domain, there are several attempts to formalize the task knowledge robots use in different applications: Proteus is an ontology that describes mobile robotics scenarios as a set of modules where the robotic elements and the missions are defined [15]; KnowRob is part of an ontology-based robot knowledge framework for service robots [22]; Ontology for Robotic Orthopedic Surgury (OROSU) is an ontology for robotic surgery applied in the biomedical field [11]; RoboEarth defines an ontology to facilitate task knowledge exchange among heterogeneous robots [23]; and Ambient Assisted Living (AAL) ontologies used in cloud robotics [24]. As for the manufacturing domain, ontologies have been used in flexible manufacturing systems [25] and manufacturing design of new products [4].…”

Section: Related Workmentioning

confidence: 99%

Towards a Robot Task Ontology Standard

Balakirsky

Schlenoff

Fiorini

et al. 2017

Volume 3: Manufacturing Equipment and Systems

View full text Add to dashboard Cite

Ontologies serve robotics in many ways, particularly in describing and driving autonomous functions. These functions are built around robot tasks. In this paper, we introduce the IEEE Robot Task Representation Study Group, including its work plan, initial development efforts, and proposed use cases. This effort aims to develop a standard that provides a comprehensive ontology encompassing robot task structures and reasoning across robotic domains, addressing both the relationships between tasks and platforms and the relationships between tasks and users. Its goal is to develop a knowledge representation that addresses task structure, with decomposition into subclasses, categories, and/or

show abstract

“…PROTEUS project of the French National Research Agency (ANR) [16], [17], [18], began in 2011. Its objective is to build a model-driven development platform for research institutions and cooperative enterprise (including Thales to ECA, etc.).…”

Section: The State Of Thementioning

confidence: 99%

A domain specific architecture description language for Autonomous Mobile Robots

Zhang

Zhang²,

Fang

et al. 2012

2012 IEEE International Conference on Information and Automation

View full text Add to dashboard Cite

As mobile robots have been more and more widely applied, their tasks become more and more complicated. Architectures of robots encapsulate and model the algorithms and hardware into components. How to organize and configure these components to make them work together appropriately becomes one of the most important research subjects. Domain specific model driven architecture is a development approach by modeling systems into architecture models, and then generating the source codes from these architecture models. In this paper, we propose a domain specific model driven architecture framework for Autonomous Mobile Robots(AMR). Our proposed framework can improve the reusability of architectures and reduce the time and cost of system development.

show abstract

Integrating Ontological Domain Knowledge into a Robotic DSL

Cited by 13 publications

References 12 publications

Model-driven software development approaches in robotics research

Model-driven software development approaches in robotics research

Towards a Robot Task Ontology Standard

A domain specific architecture description language for Autonomous Mobile Robots

Contact Info

Product

Resources

About