IEEE ARM 2026 (Supplementary material): Validation of autoencoders for collision detection of articulated robots using time series data of motor currents
- DOI
- 10.48328/tudatalib-2247
- Published
- 2026
- Container
- Not recorded
- Publisher
- Technische Universität Darmstadt
- Open access
- yes
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limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.48328/tudatalib-2247,
title = {IEEE ARM 2026 (Supplementary material): Validation of autoencoders for collision detection of articulated robots using time series data of motor currents},
author = {Plesker, Christian and Voges, Jonas and Rein, Justus and Schleich, Benjamin and Technische Universität Darmstadt},
year = {2026},
doi = {10.48328/tudatalib-2247},
url = {https://doi.org/10.48328/tudatalib-2247}
}RIS
TY - JOUR TI - IEEE ARM 2026 (Supplementary material): Validation of autoencoders for collision detection of articulated robots using time series data of motor currents AU - Plesker, Christian AU - Voges, Jonas AU - Rein, Justus AU - Schleich, Benjamin AU - Technische Universität Darmstadt PY - 2026 DO - 10.48328/tudatalib-2247 UR - https://doi.org/10.48328/tudatalib-2247 ER -
APA
Christian, P., Jonas, V., Justus, R., Benjamin, S., & Darmstadt, T. U. (2026). IEEE ARM 2026 (Supplementary material): Validation of autoencoders for collision detection of articulated robots using time series data of motor currents. https://doi.org/10.48328/tudatalib-2247
Source records
- datacite · retrieved 2026-09-25T18:02:49.121Z