Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction.
- DOI
- 10.3389/fnbot.2020.00026
- Published
- 2020
- Container
- Frontiers in neurorobotics
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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:10.3389/fnbot.2020.00026,
title = {Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction.},
author = {Mi J and Liang H and Katsakis N and Tang S and Li Q and Zhang C and Zhang J},
year = {2020},
journal = {Frontiers in neurorobotics},
doi = {10.3389/fnbot.2020.00026},
url = {https://doi.org/10.3389/fnbot.2020.00026}
}RIS
TY - JOUR TI - Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction. AU - Mi J AU - Liang H AU - Katsakis N AU - Tang S AU - Li Q AU - Zhang C AU - Zhang J PY - 2020 JO - Frontiers in neurorobotics DO - 10.3389/fnbot.2020.00026 UR - https://doi.org/10.3389/fnbot.2020.00026 ER -
APA
J, M., H, L., N, K., S, T., Q, L., C, Z., & J, Z. (2020). Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction.. Frontiers in neurorobotics. https://doi.org/10.3389/fnbot.2020.00026
Source records
- pubmed · retrieved 2026-09-25T11:34:59.882Z
- europe-pmc · retrieved 2026-09-25T11:34:59.901Z
- doaj · retrieved 2026-09-25T11:34:59.882Z