Uncertainty Covariances in Robotics Applications

Abstract

The application of uncertainty covariance matrices in the analysis of robot trajectory errors is explored, First, relevant statistical concepts are reviewed briefly. Then, a simple, hypothetical robot model is considered to illustrate methods for error propagation and performance test data evaluation. The importance of including error correlations is emphasized.