| 摘要: |
| 新质生产力浪潮下中国产业转型升级,机器人的智能化、网络化、交互化发展加速物流行业提
质降本增效减碳步伐。 分析物流机器人的技术融合趋势对于把握技术方向、激发技术创新具有重要意
义。 基于大为全球专利数据库( daweisoft. com) 中物流机器人授权专利数据,利用隐含狄利克雷分布( La-
tent Dirichlet Allocation,LDA) 主题模型对专利摘要文本进行主题分类;再通过余弦相似度挖掘主题演化
路径;最后运用社会网络指标挖掘物流机器人技术融合趋势。 研究发现物流机器人专利技术融合趋于小
世界态势,未来物流机器人领域技术发展趋向于集成化和多元化,建议承前启后强化技术主题发展、跨界
融通深化跨领域技术融合、齐心协力加速产学研合作进程,助力物流机器人高质量发展。 |
| 关键词: 技术融合 LDA 模型 社会网络分析 物流机器人 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Research on Logistics Robot Technology Convergence forNew Quality Productive Forces |
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WANG Chuanlei,YANG Yiwan,QIN Qin
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| Abstract: |
| Under the wave of new quality productive forces, China’ s industries are undergoing transforma-
tion and upgrading. The development of robots towards intelligence, networking, and interactivity is accelerating
the logistics industry’ s efforts to improve quality, reduce costs, increase efficiency, and cut carbon emissions.
Analyzing the technological convergence trends of logistics robots is of great significance for grasping the direc-
tion of technology and stimulating technological innovation. Based on the authorized patent data of logistics ro-
bots from the Daweisoft Global Patent Database ( daweisoft. com) , this paper uses the Latent Dirichlet Alloca-
tion ( LDA) topic model to excavate and classify the abstract texts of patents into topics. It then explores the
topic evolution paths through cosine similarity and finally uses social network indicators to uncover the technolog-
ical convergence trends of logistics robots. The study finds that the technological convergence of logistics robot
patents tends towards a small-world pattern. Future technological development in the logistics robot field is ex-
pected to become more integrated and diversified. The paper suggests building on previous achievements to
strengthen the development of technological themes, deepening cross-domain technological integration through
boundary-crossing connectivity, and accelerating the cooperation process among industry, academia, and re-
search to promote the high-quality development of logistics robots. |
| Key words: technological convergence LDA model social network analysis logistics robot |
