Skip to Main content Skip to Navigation
Journal articles

Optimal exciting motion for fast robot identification. Application to contact painting tasks with estimated external forces

Takuma Katsumata 1 Benjamin Navarro 2 Vincent V. Bonnet 3 Philippe Fraisse 2 André Crosnier 2 Gentiane Venture 1 
1 TUAT - Tokyo University of Agriculture and Technology
2 IDH - Interactive Digital Humans
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12
Document type :
Journal articles
Complete list of metadata
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02011328
Contributor : Accord Elsevier CCSD Connect in order to contact the contributor
Submitted on : Thursday, October 21, 2021 - 7:46:06 PM
Last modification on : Friday, August 5, 2022 - 3:02:26 PM
Long-term archiving on: : Saturday, January 22, 2022 - 8:36:23 PM

File

Vignette du document
S0921889017307091.pdf
Files produced by the author(s)

Licence

Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License
Elsevier-hosted Accepted Manuscript

Identifiers

Collections

UPEC-UPEM | CNRS | UPEC | IDH | LIRMM | MIPS | UNIV-MONTPELLIER

Citation

Takuma Katsumata, Benjamin Navarro, Vincent V. Bonnet, Philippe Fraisse, André Crosnier, et al.. Optimal exciting motion for fast robot identification. Application to contact painting tasks with estimated external forces. Robotics and Autonomous Systems, Elsevier, 2019, 113, pp.149-159. ⟨10.1016/j.robot.2018.11.021⟩. ⟨lirmm-02011328⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

140

Files downloads

35