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Conference Paper: LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence

TitleLARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Authors
Li, ZhuolingXu, XiaogangXu, ZhenhuaLim, Ser-NamZhao, Hengshuang
Issue Date13-Jul-2025
Persistent Identifierhttp://hdl.handle.net/10722/362404

 

DC FieldValueLanguage
dc.contributor.authorLi, Zhuoling-
dc.contributor.authorXu, Xiaogang-
dc.contributor.authorXu, Zhenhua-
dc.contributor.authorLim, Ser-Nam-
dc.contributor.authorZhao, Hengshuang-
dc.date.accessioned2025-09-23T00:31:17Z-
dc.date.available2025-09-23T00:31:17Z-
dc.date.issued2025-07-13-
dc.identifier.urihttp://hdl.handle.net/10722/362404-
dc.languageeng-
dc.relation.ispartofForty-Second International Conference on Machine Learning (ICML 2025) (13/07/2025-19/07/2025, Vancouver)-
dc.titleLARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence-
dc.typeConference_Paper-

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