Learning tasks with bimanual robots using motion symmetries

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Campo DC	Valor	Lengua/Idioma
dc.contributor.advisor	Colomé, Adrià	-
dc.contributor.author	Cosp Arqué, Enric	-
dc.contributor.author	Torras, Carme	-
dc.date.accessioned	2018-08-21T12:16:20Z	-
dc.date.available	2018-08-21T12:16:20Z	-
dc.date.issued	2017	-
dc.identifier.uri	http://hdl.handle.net/10261/168982	-
dc.description	Degree in Mathematics: Bachelor’s Degree Thesis.	-
dc.description.abstract	The main aim of this work is to present a motion learning framework in order to make a Whole Arm Manipulator (WAM) robot learn a task. In addition, we will improve the motion learning algorithm by reducing the dimensionality of the problem in both general one arm cases, and two arm motions which include symmetries. In the last case, we will use the symmetry feature in order to upgrade the learning process.	-
dc.publisher	Universidad Politécnica de Cataluña	-
dc.rights	closedAccess	-
dc.subject	Bimanual robots	-
dc.subject	Symmetries	-
dc.subject	Robotics	-
dc.subject	Motion learning	-
dc.title	Learning tasks with bimanual robots using motion symmetries	-
dc.type	proyecto fin de carrera	-
dc.date.updated	2018-08-21T12:16:20Z	-
dc.description.version	Peer Reviewed	-
dc.language.rfc3066	eng	-
dc.relation.csic	Sí	-
dc.type.coar	http://purl.org/coar/resource_type/c_7a1f	es_ES
item.fulltext	No Fulltext	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.cerifentitytype	Publications	-
item.grantfulltext	none	-
item.openairetype	proyecto fin de carrera	-
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