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Adaptive State

dc.contributor.authorPetereit, Janko*
dc.date.accessioned2021-02-11T07:42:13Z
dc.date.available2021-02-11T07:42:13Z
dc.date.issued2016*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35194*
dc.identifier.issn18636489*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/40115
dc.description.abstractMobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherobstacle avoidance*
dc.subject.otherPfadplanung*
dc.subject.othermotion planning*
dc.subject.otherautonomes Fahren*
dc.subject.otherHindernisvermeidungMobile robots*
dc.subject.otherpath planning*
dc.subject.otherMobile Roboter*
dc.subject.otherBewegungsplanung*
dc.subject.otherautonomous driving*
dc.titleAdaptive State*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000058693*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731505808*
oapen.pagesXXV, 241 p.*
oapen.volume27*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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