In order to cope with the post-epidemic era in which the virus continues to mutate, the transmission range becomes wider, the transmission capacity is enhanced, and the population infection base is increasing, the work aims to reduce the workload of the medical staff and relevant staff in the isolation hotel (medical centralized isolation and observation point), effectively increase the work efficiency and improve the service quality to users. Quantitative and qualitative research methods were adopted and 17 functional indicators were grouped through KJ affinity graph method to find out the explicit, implicit and other demands of users. Through SPSS26.0 software, the principal component analysis was carried out to user demand factors in the questionnaire data. Three principal component factors were extracted and named, and the user demand was reduced and sorted. Based on this, the function of the robot in isolation hotel was designed and optimized. By mining user demand, the mapping relationship between the function of the hotel robot and the user is clarified, and its rationality is verified by data analysis and reliability and validity test. The robot is designed according to the research conclusion, and the consistency and efficiency of its functional design are verified according to the user experience and feedback, which can better meet the demand of users.