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dc.creatorPetereit, Janko
dc.date.accessioned2021-01-21T18:04:30Z
dc.date.available2021-01-21T18:04:30Z
dc.date.created2016
dc.identifier.isbn978-3-731-50580-8
dc.identifier.issn1863-6489
dc.identifier.otherhttps://www.ksp.kit.edu/9783731505808
dc.identifier.urihttp://hdl.handle.net/20.500.12010/16835
dc.format.extent282 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherKIT Scientific Publishingspa
dc.subjectCiencias de la computaciónspa
dc.titleAdaptive Statespa
dc.subject.lembRobots móvilesspa
dc.subject.lembConducción autónomaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doi10.5445/KSP/1000058693
dc.description.abstractenglishMobile 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 statespa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-sa/4.0/legalcode


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