An approach for unsupervised interaction clustering in human-robot co-work using spatiotemporal graph convolutional networks.
- DOI
- 10.3389/frobt.2025.1545712
- Published
- 2025
- Container
- Frontiers in robotics and AI
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frobt.2025.1545712,
title = {An approach for unsupervised interaction clustering in human-robot co-work using spatiotemporal graph convolutional networks.},
author = {Heuermann A and Ghrairi Z and Zitnikov A and Al Noman A and Thoben KD},
year = {2025},
journal = {Frontiers in robotics and AI},
doi = {10.3389/frobt.2025.1545712},
url = {https://doi.org/10.3389/frobt.2025.1545712}
}RIS
TY - JOUR TI - An approach for unsupervised interaction clustering in human-robot co-work using spatiotemporal graph convolutional networks. AU - Heuermann A AU - Ghrairi Z AU - Zitnikov A AU - Al Noman A AU - Thoben KD PY - 2025 JO - Frontiers in robotics and AI DO - 10.3389/frobt.2025.1545712 UR - https://doi.org/10.3389/frobt.2025.1545712 ER -
APA
A, H., Z, G., A, Z., A, A. N., & KD, T. (2025). An approach for unsupervised interaction clustering in human-robot co-work using spatiotemporal graph convolutional networks.. Frontiers in robotics and AI. https://doi.org/10.3389/frobt.2025.1545712
Source records
- pubmed · retrieved 2026-09-26T10:08:23.135Z
- europe-pmc · retrieved 2026-09-26T10:08:23.150Z
- doaj · retrieved 2026-09-26T10:08:23.121Z