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Large language models in human-robot collaboration: A systematic review, trends, and challenges

Gang Yuan et al.

Journal of Manufacturing Systems2026https://doi.org/10.1016/j.jmsy.2026.01.011article
AJG 1ABDC B
Weight
0.41

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2 citations

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https://doi.org/https://doi.org/10.1016/j.jmsy.2026.01.011

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@article{gang2026,
  title        = {{Large language models in human-robot collaboration: A systematic review, trends, and challenges}},
  author       = {Gang Yuan et al.},
  journal      = {Journal of Manufacturing Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jmsy.2026.01.011},
}

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Large language models in human-robot collaboration: A systematic review, trends, and challenges

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.