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AuroraWorld: Structured 4D World Modeling for Exo-to-Ego Video Generation in Robot Manipulation — arXiv:2611.00177

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.00177
License (as archived): CC0-1.0
Archived: 2026-11-03T11:00:36.120Z
SHA-256 of the archived text: 20a39ac5695e8ea2abc5aa81b7642dbfe5aab80ee92a5ccbf967da60b709ed0d
Stable URL of this page: https://metraipolis.com/documento/dc_67e75583b60a

How to cite

AuroraWorld: Structured 4D World Modeling for Exo-to-Ego Video Generation in Robot Manipulation — arXiv:2611.00177 — arXiv (en), https://arxiv.org/abs/2611.00177 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_67e75583b60a (Metraipolis archive dc_67e75583b60a, sha256 20a39ac5695e8ea2abc5aa81b7642dbfe5aab80ee92a5ccbf967da60b709ed0d)

BibTeX

@misc{dc67e75583b60a,
  title = {AuroraWorld: Structured 4D World Modeling for Exo-to-Ego Video Generation in Robot Manipulation — arXiv:2611.00177},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.00177},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_67e75583b60a; sha256 20a39ac5695e8ea2abc5aa81b7642dbfe5aab80ee92a5ccbf967da60b709ed0d},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.00177. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Egocentric observations provide a robot-centric view of manipulation processes, capturing contact interactions and object-state changes that are important for visuomotor policy learning but difficult to observe from external cameras. However, collecting such data at scale remains expensive due to additional hardware requirements and platform-specific deployment costs. Synthesizing egocentric observations from large-scale exocentric manipulation videos provides a scalable alternative. However, existing methods struggle to synthesize physically consistent and policy-relevant egocentric videos under substantial viewpoint transformations, severe occlusions, complex object interactions, and inherently sparse observations from available exocentric viewpoints.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2611.00177 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T10:59:45.686Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).