Motion Primitives for Robotic Flight Control

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dc.creatorPerk, Baris E.
dc.creatorSlotine, J. J. E.
dc.date2006-09-25
dc.date2008-10-15
dc.date.accessioned2026-07-07T10:10:01Z
dc.date.available2026-07-07T10:10:01Z
dc.descriptionWe introduce a simple framework for learning aggressive maneuvers in flight control of UAVs. Having inspired from biological environment, dynamic movement primitives are analyzed and extended using nonlinear contraction theory. Accordingly, primitives of an observed movement are stably combined and concatenated. We demonstrate our results experimentally on the Quanser Helicopter, in which we first imitate aggressive maneuvers and then use them as primitives to achieve new maneuvers that can fly over an obstacle.
dc.descriptionThe paper has been revised with small editorial changes and updated references
dc.identifierhttps://arxiv.org/abs/cs/0609140
dc.identifierhttp://arxiv.org/abs/cs/0609140
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/171499
dc.subjectRobotics
dc.subjectMachine Learning
dc.titleMotion Primitives for Robotic Flight Control
dc.typetext

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