Scholarlink

Digital twins are emerging as a key technological enabler for Europe’s industrial future. As high-fidelity virtual replicas of physical systems, digital twins harness advances in artificial intelligence, connectivity, and the growing availability of data to enable real-time monitoring, simulation, and optimization. Their impact spans diverse domains, including manufacturing, healthcare, energy, logistics, and smart cities, playing a pivotal role in driving the green and digital transition.This chapter explores the foundational principles and strategic relevance for digital twins within the European context, with particular emphasis on the contributions of the AI, Data, and Robotics Association (ADRA). It outlines state-of-the-art technical approaches and highlights prominent use cases in this critical field.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Digital Twins in Europe: Driving Sustainable Innovation and Sovereignty

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Victor Alonso Ramos,
  • Gema Antequera García,
  • Iria Galiñanes Romero,
  • Celia Minguet Requeni,
  • Sergio Gusmeroli,
  • Iddo Bante,
  • Jose Ramón Sierra,
  • Nikolaos Nikolakis,
  • Mila Koeva,
  • Katalin Kovacs,
  • Gorka Aguirre,
  • Ibon Ocaña

摘要

Digital twins are emerging as a key technological enabler for Europe’s industrial future. As high-fidelity virtual replicas of physical systems, digital twins harness advances in artificial intelligence, connectivity, and the growing availability of data to enable real-time monitoring, simulation, and optimization. Their impact spans diverse domains, including manufacturing, healthcare, energy, logistics, and smart cities, playing a pivotal role in driving the green and digital transition.This chapter explores the foundational principles and strategic relevance for digital twins within the European context, with particular emphasis on the contributions of the AI, Data, and Robotics Association (ADRA). It outlines state-of-the-art technical approaches and highlights prominent use cases in this critical field.