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Silicon Language: A Robot-Native Knowledge Exchange Framework for Heterogeneous Robots — arXiv:2610.07650

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.07650
License (as archived): CC0-1.0
Archived: 2026-10-07T13:12:03.538Z
SHA-256 of the archived text: 63e0acafc36d5177e88042c210b33ccf4150977986805758e415dbaf3063cc2b
Stable URL of this page: https://metraipolis.com/documento/dc_ec8142fca4fe

How to cite

Silicon Language: A Robot-Native Knowledge Exchange Framework for Heterogeneous Robots — arXiv:2610.07650 — arXiv (en), https://arxiv.org/abs/2610.07650 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ec8142fca4fe (Metraipolis archive dc_ec8142fca4fe, sha256 63e0acafc36d5177e88042c210b33ccf4150977986805758e415dbaf3063cc2b)

BibTeX

@misc{dcec8142fca4fe,
  title = {Silicon Language: A Robot-Native Knowledge Exchange Framework for Heterogeneous Robots — arXiv:2610.07650},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.07650},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ec8142fca4fe; sha256 63e0acafc36d5177e88042c210b33ccf4150977986805758e415dbaf3063cc2b},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.07650. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Reusing a capability across heterogeneous robots still requires substantial human adaptation and verification: transferring a skill often means re-engineering interfaces, retuning parameters, and re-validating safety. We introduce Silicon Language, a robot-native knowledge exchange framework that treats the robot as the active subject of its own capability evolution. In this framework, a robot that wants a capability encodes its own experience into knowledge packets, publishes them, retrieves peer packets, translates them for its own sensors and actuators, and reviews them through independent local trial. A receiver-side usability evaluation procedure lets each robot decide for itself whether an external packet is useful, and progressive blending with automatic rollback is designed to reduce the risk of negative transfer when adopting it. The system combines three infrastructure layers (edge agent, Silicon Transfer Protocol (STP), and knowledge hub) with a capability stack inspired by the human scholarly system. We report a 30-day proof-of-concept deployment at an above-ground simulated-mine laboratory in Yulin, with following trials on an outdoor sand road and an indoor factory floor. Two heterogeneous robots encoded and translated three capabilities across embodiments through operator-assisted file copies mediated by the Silicon Language translation layer; source-side trials of the dust-locked following behavior were recorded on Taurus. Project records indicate that per-capability adaptation time dropped from days to hours; we present these figures as descriptive deployment records rather than controlled measurements. The deployment provides initial evidence for cross-embodiment knowledge exchange; fleet-level autonomous evolution and controlled with/without-packet comparisons remain future work.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.RO, nuovi lavori del giorno).
Categorie arXiv: Robotics (cs.RO).
Pagina del lavoro: https://arxiv.org/abs/2610.07650 — 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 2026-10-07T12:42:33.560Z dalla pagina https://arxiv.org/list/cs.RO/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).