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Video-to-Model: Automatic Modeling of Deformable Linear Objects — arXiv:2610.10039

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.10039
License (as archived): CC0-1.0
Archived: 2026-10-08T12:49:18.290Z
SHA-256 of the archived text: f738f87f19f1927d41de2c7474012666771199775bcaec7521ece4602f403aa3
Stable URL of this page: https://metraipolis.com/documento/dc_ee7828e93e14

How to cite

Video-to-Model: Automatic Modeling of Deformable Linear Objects — arXiv:2610.10039 — arXiv (en), https://arxiv.org/abs/2610.10039 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ee7828e93e14 (Metraipolis archive dc_ee7828e93e14, sha256 f738f87f19f1927d41de2c7474012666771199775bcaec7521ece4602f403aa3)

BibTeX

@misc{dcee7828e93e14,
  title = {Video-to-Model: Automatic Modeling of Deformable Linear Objects — arXiv:2610.10039},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.10039},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ee7828e93e14; sha256 f738f87f19f1927d41de2c7474012666771199775bcaec7521ece4602f403aa3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.10039. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This paper presents a video-to-model framework for automatically modeling the motion of a deformable suture thread from an input video. We utilize a recently developed CBF--CLF--QP numerical model that simplifies the characterization of deformable string motion through the selection of a small number of parameters. A perception module first localizes and tracks the thread in video, producing an ordered sequence of thread nodes. The observed thread motion is then processed by a spatio-temporal CNN network that estimates the effective parameters of a structured CBF--CLF--QP model. These parameters are used to simulate the thread under a user-defined needle velocity input. Experiments using unseen thread configurations and motion demonstrate that the framework can reliably reconstruct the thread behavior from video, automatically configure the structured model, and reproduce the expected thread motion with low tracking error. The proposed approach reduces the need for manual parameter tuning and provides a step toward automatic video-based modeling of deformable linear objects.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.RO, nuovi lavori del giorno).
Categorie arXiv: Robotics (cs.RO) ; Systems and Control (eess.SY).
Pagina del lavoro: https://arxiv.org/abs/2610.10039 — 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 2026-10-08T12:18:30.565Z dalla pagina https://arxiv.org/list/cs.RO/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).