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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Residual-gated generative additive joint-bias identification and uncertainty-weighted fault compensation for quadruped robots with scarce data

  • Likai Wu
  • Meina Zhang
  • Dengyan Li
  • Yanna Cao
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{wu2026residualgated,
  title = {{Residual-gated generative additive joint-bias identification and uncertainty-weighted fault compensation for quadruped robots with scarce data}},
  author = {Likai Wu and Meina Zhang and Dengyan Li and Yanna Cao},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74779-8},
  url = {https://www.nature.com/articles/s41598-026-74779-8},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Residual-gated generative additive joint-bias identification and uncertainty-weighted fault compensation for quadruped robots with scarce data
AU  - Likai Wu
AU  - Meina Zhang
AU  - Dengyan Li
AU  - Yanna Cao
PY  - 2026
DA  - 2026/10/16
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74779-8
UR  - https://www.nature.com/articles/s41598-026-74779-8
SN  - 2045-2322
ER  -