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dc.contributor.authorArmbrust, Christopher
dc.contributor.authorProetzsch, Martin
dc.contributor.authorBerns, Karsten
dc.date2011-05-01
dc.date.accessioned2018-01-08T09:15:04Z
dc.date.available2018-01-08T09:15:04Z
dc.date.issued2011
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11210
dc.description.abstractThis 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.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 25, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectAutonomous
dc.subjectBehaviour-based
dc.subjectNavigation
dc.subjectOff-road
dc.subjectRobot
dc.titleBehaviour-Based Off-Road Robot Navigation
dc.typeText/Journal Article
mci.reference.pages155-160
gi.identifier.doi10.1007/s13218-011-0090-2


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