Objective To investigate the effect of robot-assisted intelligent graded pain management in managing acute postoperative pain for patients undergoing hip and knee joint replacement.Methods Totally patients who underwent hip and knee joint replacement surgery between February and December 2022 at the First Affiliated Hospital of Zhengzhou University were selected by convenience sampling.Patients were randomly assigned into two groups:a control group(n=78),receiving standard pain management,and an observation group(n=78),receiving robot-assisted intelligent graded pain management.Postoperative data collected and compared between groups included use of patient-controlled analgesia(PCA),analgesic consumption,time to first ambulation,length of hospital stay,and pain management quality.Results The observation group showed statistically significant reductions in PCA duration,fentanyl dosage,and lappaconitine hydrobromide dosage compared to the control group(P<0.05).In addition,the time to first ambulation was earlier,and the postoperative hospital stay was shorter in the observation group(P<0.05).In terms of pain management quality,the observation group reported lower pain scores and higher satisfaction scores than the control group(P<0.05).Conclusions Robot-assisted intelligent graded pain management effectively reduces the time of PCA and the use of analgesics for patients undergoing hip and knee joint replacement surgery.It facilitates earlier ambulation,shortens hospital stays,and improves the quality of acute postoperative pain control.