Name
Abstract | ||
|---|---|---|
Semantic navigation is the navigation paradigm in which environmental semantic concepts and their relationships are taken into account to plan the route of a mobile robot. This paradigm facilitates the interaction with humans and the understanding of human environments in terms of navigation goals and tasks. At the high level, a semantic navigation system requires two main components: a semantic representation of the environment, and a reasoning system. This paper is focused on develop a model of the environment using semantic concepts. This paper presents two solutions for the semantic navigation paradigm. Both systems implement an ontological model. Whilst the first one uses a relational database, the second one is based on KnowRob. Both systems have been integrated in a semantic navigator. We compare both systems at the qualitative and quantitative levels, and present an implementation on a mobile robot as a proof of concept. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IROS.2018.8594271 | 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Field | DocType | ISSN |
Ontology (information science),Computer vision,Ontology,Relational database,Computer science,Proof of concept,Human–computer interaction,Artificial intelligence,Cognition,Reasoning system,Mobile robot,Semantics | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Crespo | 1 | 19 | 4.10 |
| R. Barber | 2 | 65 | 8.93 |
| Óscar Martínez Mozos | 3 | 429 | 25.82 |
| Daniel Beßler | 4 | 3 | 3.12 |
| Michael Beetz | 5 | 3784 | 284.03 |