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This work was supported in part by the Natural Science Foundation of China under Grant 62573022, Grant U22A2051; and in part by the Natural Science Foundation of Beijing Municipality under Grant L232037. (Corresponding author: Junchen Wang
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A surgical robot now delivers instruments with 83% accuracy using vision-language models to interpret surgeon requests and avoid collisions in real-time.