基于几何特征约束的机器人辅助骨科手术护理路径优化研究

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中图分类号R687R473.6 文献标识码A 文章编号 2096-7721（2026）01-0063-07

AbstractObjective：Anoptimizationmodelbasedongeometricfeatureconstraints isproposed toaddress theproblemofnursing path optimizationinobotasistedothoedicsurgery.Method：Atrlaerneuralntwok modelisdevelod，wheresiulatedaling isusedtoialitenetokweights tovodlocala，andackpropagationismpldtoadjustthweigtsfrpathoat. Results：The modelcanachieveoptimalperformancewhenthehdenlayer nodesis2OandthelearingrateisOOo8，withamean absoluteerorof0.214，arotmeansquareeror（RMSE）of0286，ndameanabsolutepercentage eror（MAPE）of0.352.Afterhree rounds of path correction， the final path accuracy reaches 0.005mm for the left lamina and O.OO6 mm for the rightlamina， with areal-time correctionresponsetieof1.12seconds.Concusio：Temodel proposedintisstudyisnfectiveapproachtootiingthenusing path in robot-assisted orthopedic surgery.

KeywordsRobot-asistedOrthopdicSurgery;NursingPathwayOptiation;SimulatedAnnealingAlgoritm;BackropagatiNeural Network;Geometric Feature

随着医疗技术的不断进步，机器人手术系统已成为提高手术精确性和安全性的重要工具[-2]。（剩余11566字）