全球机器人技术路线图 2025–2035

┌─────────────────────────────────────────────┐
│ 第四层 系统与部署 Systems and Deployment │
│ 安全体系、人机交互、行业监管、落地应用 │
├─────────────────────────────────────────────┤
│ 第三层 材料与制造 Materials and Manufacturing │
│ 智能材料、柔性材料、新型加工工艺 │
├─────────────────────────────────────────────┤
│ 第二层 硬件与驱动 Hardware and Actuation │
│ 机械结构、软体机器人、动力系统、执行器 │
├─────────────────────────────────────────────┤
│ 第一层 算法与AI Algorithms and AI │
│ 具身智能、VLA视觉-语言-动作模型、自主学习 │
└─────────────────────────────────────────────┘

A Multi-Regional, Cross-Domain Strategic Perspective for Europe, Asia, and the United States

面向欧、亚、美的多区域、跨领域战略视角

Executive Summary 执行摘要

Robotics is entering a transformative decade shaped by the convergence of three enabling megatrends: physical AI (vision-language-action models trained at scale), advanced materials (soft actuators, shape-memory alloys, electroactive polymers), and next-generation computing (neuromorphic chips, edge AI, photonic processors). Together these are blurring the space between traditional robots as fixed, programmed tools and robots as general-purpose, adaptive agents.

机器人正进入变革性十年，由三大趋势交汇驱动：物理 AI（大规模训练的视觉 – 语言 – 动作模型）、先进材料（柔性驱动器、形状记忆合金、电活性聚合物）、新一代计算（神经形态芯片、边缘 AI、光子处理器）。三者共同模糊了 “固定编程工具型传统机器人” 与 “通用自适应智能体机器人” 之间的界限。

Key headline findings of this roadmap are:

• The global robotics market reached $53.2 B in 2024 and is on a trajectory to $178.7 B by 2033 (CAGR 16.3%).
• Asia dominates industrial deployment (74% of global installations in 2024; China alone 54%), while Europe leads in safety-critical regulation and collaborative cobots.
• Vision-Language-Action (VLA) models—anchored by Open X-Embodiment, π0, OpenVLA, and Octo—are the most consequential algorithmic development of the current period.
• Soft robotics and compliant mechanisms, enabled by liquid crystal elastomers (LCEs), electroactive polymers (EAPs), and self-healing hydrogels, will redefine human-robot interaction.
• Regulatory asymmetry is a critical geopolitical variable: the EU AI Act, the first comprehensive legal framework for high-risk AI systems, is reshaping humanoid robot design globally.

本路线图核心结论：

• 全球机器人市场 2024 年达532 亿美元，预计 2033 年增至1787 亿美元，年复合增长率 16.3%。
• 亚洲主导工业部署（2024 年占全球装机量 74%，中国占 54%）；欧洲领跑安全监管与协作机器人。
• VLA（视觉 – 语言 – 动作）模型（Open X-Embodiment、π0、OpenVLA、Octo）是当前最重要算法突破。
• 软体机器人与柔性机构（液晶弹性体 LCE、电活性聚合物 EAP、自修复水凝胶）将重塑人机交互。
• 监管差异成为关键地缘变量：欧盟 AI 法案（全球首部高风险 AI 综合法规）正重塑全球人形机器人设计标准。

The roadmap recommends that Europe consolidate its regulatory advantage into a positive differentiator for responsible robotics manufacturing and healthcare robotics export; that Asia pursue diversification beyond industrial automation toward service and healthcare sectors to hedge against demographic aging; and that the United States leverage its AI software supremacy to build vertically integrated robotics stacks spanning simulation, foundation model training, and hardware.

路线图建议：

• 欧洲：将监管优势转化为负责任机器人制造 + 医疗机器人出口的差异化竞争力。
• 亚洲：从工业自动化向服务 / 医疗机器人多元化，应对人口老龄化。
• 美国：依托 AI 软件优势，构建仿真 — 基础模型训练 — 硬件全栈垂直整合生态。

1 Introduction and Scope 引言与范围

The last five years have witnessed an acceleration in robotics innovation unparalleled since the introduction of the industrial robot arm in the 1960s. The catalysts are systemic: large-scale language and vision models have transferred unprecedented semantic reasoning capabilities to robot controllers; materials science has produced compliant, bio-inspired structures that safely co-exist with humans; and computational hardware has reached sufficient density to deploy real-time inference at the edge.

过去五年，机器人创新速度达到1960 年代工业机械臂问世以来的顶峰。核心驱动：

• 大语言 / 视觉模型赋予机器人控制器前所未有的语义推理能力；
• 材料科学诞生柔性仿生结构，可安全与人共存；
• 计算硬件密度足够支撑边缘端实时推理。

Simultaneously, demographic pressures—aging populations in Europe and East Asia, labor shortages in logistics and healthcare across all mature economies—create urgent demand pull that no prior generation of technology alone could satisfy.

同时，人口结构压力（欧、东亚老龄化，成熟经济体物流 / 医疗劳动力短缺）催生迫切需求，是过往技术无法单独满足的。

This roadmap, drawing on the proceedings of ICRA, IROS, RSS, CoRL, NeurIPS, ICML, and the robotics journals (TRO, IJRR, Science Robotics, …), provides a structured, evidence-based view of where the field is today and where it must go by 2035.

本路线图基于ICRA/IROS/RSS/CoRL/NeurIPS/ICML顶会及《TRO》《IJRR》《Science Robotics》等期刊成果，系统、实证地呈现行业现状与 2035 年前发展路径。

1.2 Scope Boundaries 范围界定

• Technology domains covered: embodied AI and learning, hardware and actuation, soft robotics and materials, computing infrastructure, perception and sensing, human-robot interaction, and multi-robot systems.
• Regional focus: Europe (EU+UK), East/South-East Asia (China, Japan, South Korea, Singapore), United States of America.
• Application verticals: manufacturing, healthcare, logistics, agriculture, defense, and domestic/service contexts.
• Horizon: Near-term (2025–2027), mid-term (2028–2031), and long-term (2032–2035).
• 技术领域：具身 AI 与学习、硬件与驱动、软体机器人与材料、计算基础设施、感知、人机交互、多机器人系统。
• 区域：欧洲（欧盟 + 英国）、东亚 / 东南亚（中、日、韩、新）、美国。
• 应用场景：制造、医疗、物流、农业、国防、家庭 / 服务。
• 时间跨度：短期（2025–2027）、中期（2028–2031）、长期（2032–2035）。

1.3 Methodology 研究方法

The roadmap was developed through:

1. Systematic review of peer-reviewed literature from the conferences and journals listed above.
2. Analysis of IFR World Robotics Reports 2024 and 2025 and ABI Research market intelligence.
3. Review of government R&D funding programs: Horizon Europe (EU), China 14th Five-Year Plan, US DoD and NSF programs.
4. Technology readiness level (TRL) assessment for key enabling technologies.

路线图编制方法：

1. 系统梳理上述顶会 / 期刊的同行评审文献；
2. 分析IFR 2024/2025 全球机器人报告及 ABI Research 市场数据；
3. 研究各国政府研发资助计划（欧盟 Horizon、中国十四五、美国 DoD/NSF）；
4. 对关键技术进行TRL 技术成熟度评估。

2 Global Market Baseline 全球市场基准

2.1 Industrial Robotics 工业机器人

The IFR World Robotics 2025 report documents 542,000 industrial robot installations in 2024, the second-highest annual total ever recorded. China accounted for 295,000 units (54%), followed by Japan (45,000), South Korea (38,000), the US (33,000), and Germany (26,000).

IFR《2025 全球机器人报告》显示：2024 年全球工业机器人装机量 54.2 万台，历史第二高。其中中国 29.5 万台（54%），其次为日本（4.5 万）、韩国（3.8 万）、美国（3.3 万）、德国（2.6 万）。

2.2 Service and Emerging Robotics Markets 服务与新兴机器人市场

Humanoid robots: From a nascent $70 M in 2025 to a projected $6.5 B in 2030 at an explosive CAGR of 138%. Initial drivers are entertainment and controlled industrial environments before household deployment.

人形机器人：2025 年市场规模仅7000 万美元，预计 2030 年达65 亿美元，年复合增长率138%；初期以娱乐 + 工业受控场景为主，后期进入家庭。

Surgical and healthcare robots: CMR Surgical (Cambridge) raised $132 M in 2025 to expand AI-powered surgical robotics.

手术 / 医疗机器人：英国 CMR Surgical 2025 年融资1.32 亿美元，扩张 AI 手术机器人业务。

5 Regional Technology Strategies 区域技术战略

5.1 Europe 欧洲

European Strategic Position (2025): Research excellence, regulatory leadership, precision engineering heritage. Key gaps: commercialization at scale, hardware supply chain (actuators, rare-earth materials), and VC depth relative to US and China.

2025 年欧洲定位：科研顶尖、监管领先、精密工程底蕴深厚。短板：规模化商业化、硬件供应链（驱动器 / 稀土）、风险投资规模（弱于中美）。

5.1.4 Strategic Priorities for Europe (2025–2035) 欧洲战略重点（2025–2035）

1. Responsible Robotics Manufacturing (2025–2028): Leverage the AI Act compliance framework as a positive differentiator in export markets—particularly healthcare, eldercare, and public-sector robotics where safety standards command premium pricing.
2. Surgical and Medical Robotics (2025–2032): Scale CMR Surgical, Medtronic, and Siemens Healthineers platforms to address global aging demographics.
3. Agricultural Robotics (2026–2033): Develop precision weeding, harvesting, and soil-sensing robots aligned with EU sustainability goals.
4. Cobot Ecosystem Deepening (2025–2030): Advance UR/KUKA/ABB cobots from pick-and-place to AI-enabled adaptive assembly using VLA fine-tuning on European factory data.
5. 负责任机器人制造（2025–2028）：将 AI 法案合规优势转化为出口竞争力（医疗 / 养老 / 公共场景，安全溢价高）。
6. 手术 / 医疗机器人（2025–2032）：规模化 CMR、美敦力、西门子医疗平台，应对全球老龄化。
7. 农业机器人（2026–2033）：开发精准除草、收割、土壤传感机器人，契合欧盟可持续目标。
8. 协作机器人生态深化（2025–2030）：优必选 / 库卡 / ABB 协作机器人从 “抓取放置” 升级为AI 自适应装配（基于欧洲工厂数据微调 VLA 模型）。

5.2 Asia 亚洲

Asian Strategic Position (2025): Dominant in industrial deployment scale, manufacturing efficiency, and hardware production. China is executing the most aggressive national robotics strategy in history; Japan and South Korea face demographic decline that simultaneously drives demand and constrains workforce.

2025 年亚洲定位：工业装机规模、制造效率、硬件生产全球第一。中国推行史上最激进国家机器人战略；日韩老龄化既催生需求，也限制劳动力供给。

5.2.1 China 中国

China’s robotics trajectory is historic in scale:

• 295,000 industrial robots installed in 2024—a global record, accounting for 54% of all installations.
• Operational stock exceeded 2 million units in 2024, the first country to reach this threshold.
• Domestic manufacturers achieved 57% market share in China, up from 28% a decade ago.

中国机器人发展规模空前：

• 2024 年装机29.5 万台（全球 54%），创历史记录；
• 2024 年存量超 200 万台，全球首个达此规模国家；
• 本土厂商国内市占 57%（十年前 28%）。

5.2.5 Strategic Priorities for Asia (2025–2035) 亚洲战略重点（2025–2035）

1. Industrial Humanoid Scaling (2025–2030): China and South Korea are positioned to achieve industrial humanoid mass production first. Critical bottleneck: dexterous manipulation policies generalizing across unstructured factories.
2. Eldercare and Healthcare Robotics (2026–2033): Japan/South Korea lead demand for ADL (日常生活) robots, cognitive stimulation, and rehabilitation systems.
3. Foundation Model Ecosystem for Asian Languages (2025–2030): Address bias in current VLA models (English/US data) with Chinese/Japanese/Korean robot learning datasets.
4. 工业人形机器人规模化（2025–2030）：中韩有望率先量产工业人形机器人；核心瓶颈：非结构化工厂通用灵巧操作策略。
5. 养老 / 医疗机器人（2026–2033）：日韩主导日常护理、认知训练、康复机器人需求。
6. 亚洲语言基础模型生态（2025–2030）：解决 VLA 模型英语 / 美国数据偏见，构建中日韩机器人学习数据集。

5.3 United States 美国

US Strategic Position (2025): AI software leadership, university research excellence, defense robotics investment, and a thriving startup ecosystem. Key gaps: supply chain dependence on Asian hardware, and a fragmented regulatory environment relative to the EU.

2025 年美国定位：AI 软件全球第一、高校科研顶尖、国防投入巨大、初创生态活跃。短板：硬件供应链依赖亚洲、监管体系碎片化（弱于欧盟）。

5.3.4 Strategic Priorities for the United States (2025–2035) 美国战略重点（2025–2035）

1. Vertical AI-Robotics Stack Integration (2025–2029): NVIDIA GR00T (Cosmos simulation + Omniverse + Jetson edge compute) is the model; Google DeepMind and Physical Intelligence follow.
2. Domestic Manufacturing Renaissance (2027–2035): Reshoring actuators/precision mechanisms to reduce Asian supply chain dependence.
3. Defense Autonomous Systems (2025–2030): Scale DARPA-funded unmanned ground/aerial vehicles.
4. Open-Source Robotics Infrastructure (2025–2030): Lead ROS 2/OpenVLA/Octo as global standards.
5. AI – 机器人全栈整合（2025–2029）：英伟达 GR00T（Cosmos 仿真 + Omniverse+Jetson 边缘计算）为标杆，谷歌 DeepMind、Physical Intelligence 跟进。
6. 本土制造回流（2027–2035）：驱动器 / 精密部件回迁，降低亚洲供应链依赖。
7. 国防自主系统（2025–2030）：规模化 DARPA 无人车 / 无人机。
8. 开源机器人基础设施（2025–2030）：主导 ROS 2/OpenVLA/Octo 成为全球标准。

6 Technology Roadmap 2025–2035 技术路线图（2025–2035）

6.1 Roadmap Structure 路线图架构

The roadmap is organized across four technology layers:

1. Algorithms and AI (embodied intelligence, learning, planning)
2. Hardware and Actuation (mechanisms, soft bodies, power)
3. Materials and Manufacturing (smart materials, fabrication)
4. Systems and Deployment (safety, HRI, regulation)

路线图分为四大技术层：

1. 算法与 AI（具身智能、学习、规划）
2. 硬件与驱动（机构、软体、动力）
3. 材料与制造（智能材料、工艺）
4. 系统与部署（安全、人机交互、监管）。

6.2 Layer 1: Algorithms and AI 第一层：算法与 AI

VLA foundation models (basic manipulation)

• 2025: TRL 6
• 2028: TRL 8
• 2035: TRL 9
• Milestones: 2027 (reliable single-arm); 2030 (bimanual); 2033 (household-general)

VLA 基础模型（基础操作）

• 2025：TRL 6（系统在相关环境中演示）
• 2028：TRL 8（系统完成）
• 2035：TRL 9（全面部署）
• 里程碑：2027（单臂稳定）、2030（双臂协同）、2033（家庭通用）。

Cross-embodiment generalization

• 2025: TRL 5
• 2028: TRL 7
• 2035: TRL 9
• Milestones: 2028 (adapt to novel robot via 10 demos); 2032 (zero-shot transfer)

跨形态泛化

• 2025：TRL 5（环境验证）
• 2028：TRL 7（原型在空间验证）
• 2035：TRL 9
• 里程碑：2028（10 次演示适配新机器人）、2032（零样本迁移）。

10 Conclusion 结论

Robotics is at an inflection point: the convergence of physical AI, advanced materials, and edge computing is transforming robots from fixed automation tools into general-purpose, adaptive agents capable of operating in unstructured human environments.

机器人正处于拐点：物理 AI、先进材料、边缘计算融合，将机器人从 “固定自动化工具” 转变为可在非结构化人类环境中工作的通用自适应智能体。

By 2035, the global robotics market will exceed $350 B, with humanoid robots emerging as the fastest-growing segment. Regional strengths will persist—Europe in safety/regulation, Asia in manufacturing scale, the US in AI software—but global competition will center on integrated AI-robotics stacks and responsible innovation frameworks.

到 2035 年，全球机器人市场将超 3500 亿美元，人形机器人成为增长最快赛道。区域优势延续：欧洲（安全 / 监管）、亚洲（制造规模）、美国（AI 软件）；但全球竞争核心将是AI – 机器人全栈整合与负责任创新框架。

The decade 2025–2035 will define which nations lead the next industrial revolution—and which are left behind.

2025–2035 这十年，将决定谁引领下一场工业革命，谁被甩在身后。