Digital twinJanus: One Agent, Two Roles for Digital Twin Construction and Network OrchestrationarXiv API — полнотекстовый поиск "digital twin" · 3dModellingStochastic MPC robust to errors in disturbance statisticsarXiv — Systems and Control (eess.SY) · 3dModellingРоман Венедиктов («Эмерджентные мультиагентные системы»): «Сегодня сам факт использования ИИ стал обычной частью корпоративной ИТ-среды»spbIT · 3dDigital twinA High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D VentriclesarXiv API — полнотекстовый поиск "digital twin" · 3dForecastingAdaptive clustering for robust distributed MPC of coupled multi-agent systemsarXiv — Systems and Control (eess.SY) · 3dForecastingNeural approximation of NMPC without expert demonstrationsarXiv — Systems and Control (eess.SY) · 3dAssets & dataAn operational model for a trusted data space in vocational educationarXiv — Computers and Society (cs.CY) · 3dModellingАгентная система для тех, кто вкатывается: собираем агента поддержки от одного файла до Temporal, саги и circuit breakerХабр · 4dDigital twinOnline digital twin: data assimilation and control in a mean-field formulationarXiv — Systems and Control (eess.SY) · 4dDigital twinSurvey of digital twin networks for 6G: architecture, technologies and AI controlarXiv — Systems and Control (eess.SY) · 4dDigital twin5G NR neural receiver trained on corridor digital twin dataarXiv API — полнотекстовый поиск "digital twin" · 4dForecastingSampling-based MPC unified as a single sequential Monte Carlo algorithmarXiv — Systems and Control (eess.SY) · 4d
Six-legged robot developed in Penza for pipeline inspection
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A six-legged robot has been built in Penza for work on pipelines and rough terrain. Unlike tracked machines it can step over logs in a forest, and inside an oil pipeline it does not slip like wheeled platforms.
Why it matters
Inspecting long pipelines requires platforms that can move inside and along the routes, which determines how complete the data on infrastructure condition will be.
arXiv:2611.08929v1 Announce Type: new Abstract: Probabilistic load forecasts for AI data centers need to represent both uncertainty under changing workloads and temporal dependence to support grid operations.
TwinLight is an open-source optical-network digital twin acting as an optical domain controller. T-API REST and telemetry streaming interfaces expose a physical-layer engine combining a GNPy steady-state baseline with four analytical transients.
The survey organizes optical network digital twins for quality-of-transmission estimation, optimization, and intelligent operations. It structures technologies by ecosystem, functional, control, and implementation views and introduces a Fidelity, Dynamicity, Deployability framework for design and validation.
