Abstract
Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.
| Original language | English |
|---|---|
| Article number | e25 |
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | Knowledge Engineering Review |
| Volume | 35 |
| DOIs | |
| Publication status | Published - 2 Jun 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 16 Peace, Justice and Strong Institutions
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SDG 17 Partnerships for the Goals
Keywords
- cloud robotics
- robotic systems
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