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Parametrizing motion controllers of humanoid robots by evolution

dc.contributor.authorSchreiner, Dietmar
dc.contributor.authorPunzengruber, Clemens
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T09:59:16Z
dc.date.available2018-11-27T09:59:16Z
dc.date.issued2011
dc.description.abstractAutonomous mobile robots are devices that operate within a highly indeterministic environment, the real world. Even worse, robots are physical devices that are part of the real world and hence are inherently nondeterministic by construction w.r.t. mechanical precision and sensor noise. In consequence, robotic control software has to cope with discrepancies between a robot's specification and its de-facto physical properties as achieved in production. Finding feasible parameters for robust motion controllers is a time consuming and cumbersome work. This paper contributes by demonstrating how to utilize an evolutionary process, a genetic algorithm, to automatically find terrain specific optimized parameter sets for off-the-shelf motion controllers of humanoid robots. Evolution is performed within a physical accurate simulation in order to speed up and automate the process of parameter acquisition, while results are devolved to the real devices that benefit noticeably.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18674
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titleParametrizing motion controllers of humanoid robots by evolutionen
dc.typeText/Conference Paper
gi.citation.endPage329
gi.citation.publisherPlaceBonn
gi.citation.startPage329
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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