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Sensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI — arXiv:2610.41946

Source
arXiv (en)
Original
https://arxiv.org/abs/2610.41946
License (as archived)
CC0-1.0
Archived
2026-11-03T07:32:20.379Z
SHA-256 of the archived text
a0a22eacf69a93e02a980a0ab2002bf27f02356414b9a06e31e6322d0073da1c
Stable URL of this page
https://metraipolis.com/documento/dc_7aa28c1663b2

How to cite

Sensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI — arXiv:2610.41946 — arXiv (en), https://arxiv.org/abs/2610.41946 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7aa28c1663b2 (Metraipolis archive dc_7aa28c1663b2, sha256 a0a22eacf69a93e02a980a0ab2002bf27f02356414b9a06e31e6322d0073da1c)
BibTeX
@misc{dc7aa28c1663b2,
  title = {Sensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI — arXiv:2610.41946},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.41946},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7aa28c1663b2; sha256 a0a22eacf69a93e02a980a0ab2002bf27f02356414b9a06e31e6322d0073da1c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.41946. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Embodied surgical AI requires reliable multimodal data, yet surgical data collection remains costly, difficult to repeat, and strongly dependent on the hardware setup. We present Sensorium, an open-source Python library for recording, processing, annotating, and curating multimodal surgical data from configurable robot and sensor streams using the Robot Operating System (ROS) and ROS2 middleware. The library combines operator-facing data acquisition, configurable processing, semantic annotation, and episodic dataset generation. We evaluate Sensorium across 1516 recordings of phantom, ex vivo, and in vivo porcine experiments involving multiple surgical tasks and sensing configurations, and report preliminary usability feedback.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Robotics (cs.RO).
Pagina del lavoro: https://arxiv.org/abs/2610.41946 — 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 2026-11-03T07:29:33.656Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).