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dc.contributor.authorRosell Gratacòs, Jan
dc.contributor.authorPérez, Alexander
dc.contributor.otherUniversitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials
dc.date.accessioned2008-09-22T14:42:01Z
dc.date.available2008-09-22T14:42:01Z
dc.date.issued2008-09
dc.identifier.otherIOC-DT-P-2008-11
dc.identifier.urihttp://hdl.handle.net/2117/2257
dc.description.abstractResearch in robot motion planning requires the availability of a simulation environment where to test and validate the theoretic contributions. Nevertheless, PhD programs and graduate studies that include robot motion planning courses usually cover the subject only from a theoretical perspective. Therefore, students aiming to focus their research in this line, face the big challenge of developing their own simulation environment. To cope with this problem, this paper proposes the use of a programming framework based on multi-platform open source code, and presents a set of twelve programming assignments to allow students of any robot motion planning course a quick mastering of the basic skills involved, covering from graphical rendering issues to collision detection or graph representations and algorithms.
dc.format.extent11 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshRobotics
dc.subject.otherLearning
dc.subject.otherAprenentatge
dc.subject.otherAprendizaje
dc.subject.otherRobot motion planning
dc.subject.otherPlanificació del moviment del robot
dc.subject.otherPlanificación del movimiento del robot
dc.titleProgramming assignments to learn how to build a Probabilistic Roadmap Planner
dc.typeExternal research report
dc.subject.lemacRobòtica
dc.rights.accessOpen Access
local.personalitzacitaciotrue


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