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北京师范大学智慧学习研究院:全球教育机器人发展蓝皮书2026(英文版)(203页).pdf

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1、 Global Educational Robots Blue Book 2026 Learning in the Age of Foundation Models,Embodied AI,and Humanoid Robots AI-SLI June 2026 A Note on Method:How This Report Was Produced with AI Assistance AI-SLI Produced with AI Assistance This blue book is a systematic exploration by AI-SLI into AI-assiste

2、d knowledge production,and the 2026 edition of the Global Educational Robots White Paper series(2016,2019),now upgraded to a blue-book format.Throughout its development,generative artificial intelligence served as a research assistant under the direction and oversight of the research team,undertakin

3、g four kinds of labour-intensive work.First,whole-picture collection and data verification:fanning out exhaustive multi-source searches across the market reports,shipment and vendor data,primary policy texts,and scholarly evidence on educational robots,embodied AI,humanoid robots,and agentic tutors;

4、tracing every key figure to its source,corroborating it with no fewer than two independent sources,issuing caliber corrections,and rigorously distinguishing systems that are deployed at scale from those that remain laboratory demonstrations.Second,theoretical anchoring and literature synthesis:extra

5、cting and verifying the earlier editions definitions,taxonomy,and value-chain framework for educational robots from the 2016/2019 editions,and redefining them for the era of foundation models and embodied AI.Third,drafting,figure generation,and citation management:composing the chapters and renderin

6、g the architecture and value-chain figures to a unified specification,and maintaining a fully traceable citation apparatus with graded credibility annotations.Fourth,a parallel bilingual edition under a controlled terminology glossary.We state plainly that the role of AI here was the labour-intensiv

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1. **核心判断**:教育机器人能力已跨越代际阈值(基础模型+具身智能),但实际课堂部署严重滞后,形成“大脑升级,身体未至”的差距。 2. **技术范式**:从“规则/传感器/脚本”转向“基础模型为大脑+VLA为小脑”,NVIDIA GR00T、Figure AI Helix等为代表,但多数仍处实验室演示阶段。 3. **政策双轨**:全球12个辖区呈现“课程化推进”与“儿童-AI硬约束”并行,如中国要求中小学AI必修课(北京≥8学时/年),欧盟禁止教育场景情绪识别。 4. **市场现状**:全球教育机器人市场规模约55-58亿美元(2030年),远低于此前预测的841亿美元;唯一规模化部署的是软件代理导师(如Khanmigo用户140万)。 5. **治理红线**:聚焦拟人化陪伴、情绪识别、生物数据三大风险,中国《拟人化AI交互服务暂行办法》为全球首个针对性监管。
教育机器人现状? 政策如何影响? 技术如何演进?
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