Zobrazit minimální záznam

dc.contributor.authorMostýn, Vladimír
dc.contributor.authorHuczala, Daniel
dc.contributor.authorMoczulski, Wojciech
dc.contributor.authorTimofiejczuk, Anna
dc.date.accessioned2020-06-15T09:25:01Z
dc.date.available2020-06-15T09:25:01Z
dc.date.issued2020
dc.identifier.citationMM Science Journal. 2020, vol. 2020, p. 3745-3753.cs
dc.identifier.issn1803-1269
dc.identifier.issn1805-0476
dc.identifier.urihttp://hdl.handle.net/10084/139525
dc.description.abstractThis study examines selected components of the optimization function, used to evaluate the optimal kinematic structure of a robot for a given task. Automated generation of the kinematic structure is based on scalable drive modules of the joints and modules of the carrying arms with a check on the permissible torque of the drive and bending moment of the carrier element. An optimization algorithm is used to generate variations of kinematic structures, the base requirement of the fitness function is the ability to traverse a given trajectory with a defined orientation of the tool. The suitability of a given kinematic structure is evaluated further by a set of evaluation functions such as a check for spatial collisions, energy consumption, minimization of total weight, minimization of degrees of freedom for a given task and several other criteria. Two of these criteria - evaluation of the total weight of a robotic arm with drives in joints and evaluation of power consumption for a defined handling task are examined here.cs
dc.language.isoencs
dc.publisherMM Sciencecs
dc.relation.ispartofseriesMM Science Journalcs
dc.relation.urihttp://doi.org/10.17973/MMSJ.2020_03_2020001cs
dc.subjectgeneration of the robot kinematic structurecs
dc.subjectconceptual designcs
dc.subjectoptimizationcs
dc.subjectfitness functioncs
dc.subjectenergy consumptioncs
dc.titleDimensional optimization of the robotic arm to reduce energy consumptioncs
dc.typearticlecs
dc.identifier.doi10.17973/MMSJ.2020_03_2020001
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume2020cs
dc.description.lastpage3753cs
dc.description.firstpage3745cs
dc.identifier.wos000532576800008


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Zobrazit minimální záznam