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.