| 张 昊,雷孝平,林 毅.美国国家科学基金会资助人形机器人技术热点分析[J].全球科技经济瞭望,2025,40(4):43~54 |
| 美国国家科学基金会资助人形机器人技术热点分析 |
| Analysis of Hot Topics in Humanoid Robot Technology Funded by the National Science Foundation of the United States |
| 投稿时间：2025-01-07 |
| DOI：10.3772/j.issn.1009-8623.2025.04.007 |
| 中文关键词: 人形机器人；美国国家科学基金会；研究重点；资助项目 |
| 英文关键词: humanoid robot; National Science Foundation of the United States; research focus; funding projects |
| 基金项目:新一代人工智能国家科技重大专项“人工智能治理与安全能力评估研究”（2022ZD0116200）。 |
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| 摘要点击次数: 53 |
| 全文下载次数: 77 |
| 中文摘要: |
| 人形机器人已成为引领人工智能未来科技发展与产业竞争的关键，研究美国国家科学基金会
（National Science Foundation，NSF）在人形机器人领域的研究重点具有积极意义。以美国国家科学
基金对人形机器人领域相关资助项目为研究对象，通过统计方法对历年来人形机器人相关项目资助总
体资金、机构和人员等进行分析，并利用 LDA 算法、Word2vec 模型训练等方法，分析美国在人形机器
人领域的资助重点和研究热点。研究结果表明，NSF 对人形机器人领域的资助研究热点主要包括人形
机器人教育与技术发展、人形机器人系统与控制、人形机器人任务与能力评估和人形机器人与环境交
互等，呈现出以知名高校为主，多学科交叉、多部门协同、多渠道资助的特点，通过小规模资助的方式筛
选出具有潜力的研究方向。 |
| 英文摘要: |
| Humanoid robots have become the key to leading the future technological development and
industrial competition of artificial intelligence, and studying the research focus of the National Science Foundation
(NSF) in the field of humanoid robots has positive significance. Taking the National Science Foundation of
the United States as the research object, this study analyzes the overall funding, institutions, personnel, etc. of
humanoid robot related projects over the years through statistical methods, and uses LDA algorithm, Word2vec
model training and other methods to analyze the funding focus and research hotspots of the United States in the
field of humanoid robots. The research hotspots of NSF funding in the field of humanoid robots in the United
States mainly include humanoid robot education and technology development, humanoid robot systems and
control, humanoid robot task and capability evaluation, and humanoid robot environment interaction. It presents
the characteristics of being mainly supported by well-known universities, interdisciplinary, multi departmental
collaboration, and multi-channel funding. Potential research directions are screened through small-scale funding. |
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