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In the context of library automation and intelligent development, achieving efficient book robot book fetching path planning has become a key technical challenge. In view of this, the study tries to adopt a book robot book fetching path control method using machine vision. First, the study utilizes the Cartographer algorithm in real-time localization and map construction technology combined with laser vision radar to construct a library raster electronic map. Secondly, A* algorithm is introduced and by combining the optimized ant colony optimization algorithm, a new robot book fetching route planning and control model is implemented and proposed, and it is found by experimental testing that the new algorithm model has the best performance when the weight coefficient is 0.6. The shortest path of its planned program is 17m, and the highest success rate is 95%. After simulation test, it is found that the new model has a minimum number of 10 inflection points for line planning, which is 4 inflection points less compared to the same type of model. It can be seen that the proposed model of the study is better than the traditional algorithm in terms of path length and success rate, which effectively improves the efficiency and accuracy of book fetching by the book robot, and can contribute a new way of thinking to the applied research of machine vision and mobile robot technology.