The selection of measurement configurations in robot calibration was investigated.Observability index of the robot pose measurement configuration was achieved through singular value decomposition, using the observability index as the optimization objective function,a set of robot measurement configurations were selected with genetic algorithm,so that the effect of measurement and modeling errors in parameter estimation can be minimized.Experimental results demonstrate that its calibration effect is superior to that of the random selection measurement configurations.