Tianqi Liu, Hanfei Zhao, Qifeng Liang, Hui En Pang, Jiarui Xu, Sayang Mu, Penghao Qiu, YingSheng Zhang · 2026 · arXiv
DOI: 10.48550/arXiv.2610.26855 · open-access PDF
世界モデルは、実体化されたエージェントが行動の結果を予測することを可能にしますが、さまざまな実施形態にわたってロコモーションと操作を共同でモデリングすることは、異なる行動空間と限られた多様な監督のために依然として挑戦的です。 Ropedia W0, は、さまざまな実施形態で人間とロボットをカバーする最初のエゴセントリックロコマニパレーションの世界財団モデルです。
Machine translation (Meta M2M100); the English original follows.
World models enable embodied agents to anticipate action consequences, yet jointly modeling locomotion and manipulation across diverse embodiments remains challenging due to heterogeneous action spaces and limited multimodal supervision. We present Ropedia W0, the first egocentric loco-manipulation world foundation model spanning humans and robots with diverse embodiments. We curate Xp-Data, comprising 10k hours of egocentric human data and 3k hours of robot data with unified multimodal annotations and systematic quality control. A unified kinematic representation encodes locomotion through ca
Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese
GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.26855, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtSources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange