Adaptive State

dc.creator	Petereit, Janko
dc.date.accessioned	2021-01-21T18:04:30Z
dc.date.available	2021-01-21T18:04:30Z
dc.date.created	2016
dc.description.abstractenglish	Mobile 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	spa
dc.format.extent	282 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	10.5445/KSP/1000058693
dc.identifier.isbn	978-3-731-50580-8
dc.identifier.issn	1863-6489
dc.identifier.other	https://www.ksp.kit.edu/9783731505808
dc.identifier.uri	https://hdl.handle.net/20.500.12010/16835
dc.language.iso	eng	spa
dc.publisher	KIT Scientific Publishing	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by-sa/4.0/legalcode
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Ciencias de la computación	spa
dc.subject.lemb	Robots móviles	spa
dc.subject.lemb	Conducción autónoma	spa
dc.title	Adaptive State	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa

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