| dc.contributor.author | Armbrust, Christopher | |
| dc.contributor.author | Proetzsch, Martin | |
| dc.contributor.author | Berns, Karsten | |
| dc.date | 2011-05-01 | |
| dc.date.accessioned | 2018-01-08T09:15:04Z | |
| dc.date.available | 2018-01-08T09:15:04Z | |
| dc.date.issued | 2011 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/11210 | |
| dc.description.abstract | This paper describes concepts for the control of the autonomous off-road vehicle ravon. The complexity of the target environment comprising rough terrain as well as vegetation requires capabilities reaching from low-level safety aspects to high-level planning. It is shown how the modular implementation using the behaviour-based architecture iB2C allows for the realisation of complex behaviour networks based on a concept for the uniform representation of sensor data. The effectiveness of the presented approach is briefly shown in a real-world experiment. | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 25, No. 2 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.subject | Autonomous | |
| dc.subject | Behaviour-based | |
| dc.subject | Navigation | |
| dc.subject | Off-road | |
| dc.subject | Robot | |
| dc.title | Behaviour-Based Off-Road Robot Navigation | |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 155-160 | |
| gi.identifier.doi | 10.1007/s13218-011-0090-2 | |