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Industrial Scene Embodied AI Real Operation High-Quality Dataset Construction

2 reports1 reporting sourcesUpdated 11 days ago

Overview

Report summary

Jiangsu Province has launched a three-year plan to build over 100 high-quality physical AI datasets by 2028, focusing on real-world data from industrial and manufacturing environments. The initiative emphasizes data sovereignty, open access, and standardized data collection, aiming to support the development of world models and embodied AI.

From Chinese robotics — Dataset and collection discovery

Event evidence and corrections

0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Reported quantity · physical AI data sets: 100 other · Basis not reported
Supporting report

“而江苏这次干的,正是为这场成人礼准备‘成长档案’——到2028年底,建成覆盖超100个重点场景的物理AI高质量数据集,并面向全球世界模型研发机构开放共享。”

Exact source · revision 2

Source owner not reported

Reported quantity · number of physical AI data sets: 100 other · Basis not reported
Supporting report

“而江苏这次干的,正是为这场成人礼准备‘成长档案’——到2028年底,建成覆盖超100个重点场景的物理AI高质量数据集,并面向全球世界模型研发机构开放共享。”

Exact source · revision 2

Source owner not reported

Evidence dependency changes (4)
  • 2026-10-30T22:05:44.483Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
  • 2026-10-30T22:05:17.084Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
  • 2026-10-30T22:01:35.946Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
  • 2026-10-30T22:01:25.705Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.

Developments

2 developments
  1. 2026-10-20 09:36 UTC · 1 reports
    Industrial Scene Embodied AI Real Operation High-Quality Dataset Construction
    Chinese robotics — Dataset and collection discovery:Real-World Data Collection for Physical AI: A Focus on Industrial Applications and Quality Assurance
  2. 2026-10-19 19:03 UTC · 1 reports
    Jiangsu Province Action Plan for Physical AI and World Model High-Quality Datas
    Chinese robotics — Dataset and collection discovery:Jiangsu Launches World Model Data Collection Initiative

Report timeline

Follow attributed reports and material updates.

10/20
  1. Chinese robotics — Dataset and collection discoverySignal
    Real-World Data Collection for Physical AI: A Focus on Industrial Applications and Quality Assurance

    At the 2026 Physical AI and World Models Conference, Ruierman Intelligent Technology was recognized for its 'High-Quality Real-World Data Set Construction Project' in Jiangsu Province. The project emphasizes the need for real-robot operations to generate authentic, multi-modal data essential for training physical AI models. The company's GLN remote labor network enables continuous data collection across various industrial scenarios, supported by reliable hardware and a comprehensive quality assurance process.

10/19
  1. Chinese robotics — Dataset and collection discoverySignal
    Jiangsu Launches World Model Data Collection Initiative

    Jiangsu Province has launched a three-year plan to build over 100 high-quality physical AI datasets by 2028, focusing on real-world data from industrial and manufacturing environments. The initiative emphasizes data sovereignty, open access, and standardized data collection, aiming to support the development of world models and embodied AI.

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