In　order　to　improve　the　positioning　accuracy　of　UWB　positioning　technology　in　complex　environments,　a　UWB/IMU　information　fusion　method　based　on　unscented　Kalman　filter　(UKF)　algorithm　is　proposed.　The　UWB　positioning　technology　and　IMU　inertial　measurement　technology　are　respectively　used　to　calculate　the　position　information　of　the　robot.　The　UKF　algorithm　is　used　to　fuse　the　position　information　data　to　obtain　the　final　position　information　of　the　robot.　Matlab　simulation　software　and　the　constructed　experimental　platform　are　respectively　used　for　simulation　and　test.　Simulation　results　show　that　the　positioning　error　of　UWB　is　within　±　1　m　and　fluctuates　greatly,　while　the　positioning　error　of　UWB/IMU　fusion　is　within　±　0.25　m　and　basically　stable　within　±　0.2　m;　According　to　the　experiment,　in　the　process　of　dynamic　positioning,　the　data　error　obtained　by　the　combined　positioning　method　based　on　the　UKF　algorithm　is　stable　between　4-8　cm,　while　the　data　error　obtained　by　only　using　the　UWB　positioning　fluctuates　greatly,　up　to　17　cm,　indicating　that　the　data　error　obtained　with　the　combined　positioning　is　small,　and　can　reach　the　centimeter　level　accuracy,　and　the　data　is　stable.　©　2025　Editorial　Board　of　Mechanical　Science　and　Technology　for　Aerospace　Engineering.　All　rights　reserved.