To Örebro University

oru.seÖrebro universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Mapping between different kinematic structures without absolute positioning during operation
Örebro universitet, Institutionen för naturvetenskap och teknik. (MRO;Centre for Applied Autonomous Sensor Systems ( AASS ))
Örebro universitet, Institutionen för naturvetenskap och teknik. (MROMRO;Centre for Applied Autonomous Sensor Systems ( AASS ))
Örebro universitet, Institutionen för naturvetenskap och teknik. (MRO; Centre for Applied Autonomous Sensor Systems ( AASS ))
Örebro universitet, Institutionen för naturvetenskap och teknik. (MRO; Centre for Applied Autonomous Sensor Systems ( AASS ))
Vise andre og tillknytning
2012 (engelsk)Inngår i: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 48, nr 18, s. 1110-1112Artikkel i tidsskrift, Letter (Fagfellevurdert) Published
Abstract [en]

When creating datasets for modelling of human skills based on training examples from human motion, one can encounter the problem that the kinematics of the robot does not match the human kinematics. Presented is a simple method of bypassing the explicit modelling of the human kinematics based on a variant of the self-organising map (SOM) algorithm. While the literature contains instances of SOM-type algorithms used for dimension reduction, this reported work deals with the inverse problem: dimension increase, as we are going from 4 to 5 degrees of freedom.

sted, utgiver, år, opplag, sider
2012. Vol. 48, nr 18, s. 1110-1112
Emneord [en]
robot kinematics, self-organising feature maps, SOM-type algorithms, human kinematics, human motion, human skills modelling, kinematic structures, robot kinematics, self-organising map algorithm, training examples
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-28853DOI: 10.1049/el.2012.1085ISI: 000308552200016Scopus ID: 2-s2.0-84865961531OAI: oai:DiVA.org:oru-28853DiVA, id: diva2:618536
Merknad

Research funder: European Union, HANDLE project (no project number available)

Tilgjengelig fra: 2013-04-29 Laget: 2013-04-29 Sist oppdatert: 2023-12-08bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Berglund, ErikIliev, BoykoPalm, RainerKrug, RobertCharusta, KrzysztofDimitrov, Dimitar

Søk i DiVA

Av forfatter/redaktør
Berglund, ErikIliev, BoykoPalm, RainerKrug, RobertCharusta, KrzysztofDimitrov, Dimitar
Av organisasjonen
I samme tidsskrift
Electronics Letters

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 651 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf