全球教育机器人蓝皮书2026

and Humanoid Robots 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-assisted knowledge production, and the2026 edition of the Global Educational Robots White Paper series (2016, 2019), now upgraded to a blue-bookformat. Throughout its development, generative artificial intelligence served as a research assistant under thedirection and oversight of the research team, undertaking four kinds of labour-intensive work. First, whole-picture collection and data verification: fanning out exhaustive multi-source searches across the marketreports, shipment and vendor data, primary policy texts, and scholarly evidence on educational robots,embodied AI, humanoid robots, and agentic tutors; tracing every key figure to its source, corroborating it withno fewer than two independent sources, issuing caliber corrections, and rigorously distinguishing systems thatare deployed at scale from those that remain laboratory demonstrations. Second, theoretical anchoring andliterature synthesis: extracting and verifying the earlier editions' definitions, taxonomy, and value-chainframework for educational robots from the 2016/2019 editions, and redefining them for the era of foundationmodels and embodied AI. Third, drafting, figure generation, and citation management: composing thechapters and rendering the architecture and value-chain figures to a unified specification, and maintaining afully traceable citation apparatus with graded credibility annotations. Fourth, a parallel bilingual edition undera controlled terminology glossary. We state plainly that the role of AI here was the labour-intensive work of collecting, verifying, drafting,illustrating, and managing citations; the choice of subject, the judgements of value, the scholarly and industryassessments, and the final conclusions were directed and vouched for by the research team. The report holdsto conservative accuracy—every datum is required to be real and verifiable, every market figurecorroborated by no fewer than two independent sources, and nascent segments are flagged by caliber ratherthan overstated. We offer it as a forward-looking reference workflow for colleagues in education to scrutiniseand improve upon—a sincere experiment in a new paradigm of knowledge production, and in no way asubstitute for expert judgement or peer review. Table of Contents Part I Overview and Coordinates............................................................................................................1Chapter 1 Introduction: A Decade of Educational Robotics and the 2026 Landscape.......................2Chapter 2 The Policy Landscape: A Dual-Track Structure Across Twelve Jurisdictions..................9Chapter 3 Definitions and Taxonomy: From a Binary Framework to an Embodied–AgenticContinuum..........................................................................................................................................16Part II The Capability Leap: Brain, Body, and World Models..........................................................24Chapter 4 Technical Evolution: From Rule-Based Scripts to Embodied Foundation Models.........25Chapter 5 Agentification: When the Software Tutor Reaches Scale Before the Robot Body..........36Chapter 6 The Full Spectrum of Embodied Bodies: Humanoids, Dexterous Hands, and Quadrupeds............................................................................................................................................................43Chapter 7 Multimodal Interaction and Learning Analytics: Behavior Sensing, Controlled Research,and the Emotion-Recognition Red Line.............................................................................................55Part III Deployment and Evidence: Who Actually Reached the Classroom.....................................62Chapter 8 The Full Spectrum of Application Scenarios...................................................................63Chapter 9 Cases and Pilots: An Evidence-Graded Map of Real-World Deployment.......................70Chapter 10 Learning Outcomes and Evidence: Scenario-by-Scenario Strength Grading................82Part IV Industry and Market................................................................................................................93Chapter 11 Value-Chain Reconstruction: From the Hardware Chain to the VLA Layer andUpstream Bottlenecks........................................................................................................................94Chapter 12 Market Size and TAM: Conservative, Multi-Source Ranges.......................................102Chapter 13 Competitive Landscape: Representative Vendors, Shipment Rankings, and CapitalDivergence.......................................................................................................................................111Part V Governance and Outlook........................