Name
Abstract | ||
|---|---|---|
Robots need a suitable representation of the surrounding world to operate in a structured but dynamic environment. State-of-the-art approaches usually rely on a combination of metric and topological maps and require an expert to provide the knowledge to the robot in a suitable format. Therefore, additional symbolic knowledge cannot be easily added to the representation in an incremental manner. This work deals with the problem of effectively binding together the high-level semantic information with the low-level knowledge represented in the metric map by introducing an intermediate grid-based representation. In order to demonstrate its effectiveness, the proposed approach has been experimentally validated on different kinds of environments. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-08338-4_52 | INTELLIGENT AUTONOMOUS SYSTEMS 13 |
Field | DocType | Volume |
Computer science,Metric map,Semantic information,Theoretical computer science,Robot,Grid | Conference | 302 |
ISSN | Citations | PageRank |
2194-5357 | 5 | 0.45 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Capobianco | 1 | 40 | 9.78 |
| Guglielmo Gemignani | 2 | 41 | 5.73 |
| Domenico Daniele Bloisi | 3 | 132 | 15.05 |
| Daniele Nardi | 4 | 5968 | 545.67 |
| Luca Iocchi | 5 | 1110 | 111.38 |