Quality assurance in robot production using model-based parameter identification methods

Calibration procedures using raw data from complex mechanical systems like robots can be used to obtain information about internal defects and deviations of the system. In order to use these results in diagnostic reasoning, information about their precision and reliability are required. Procedures are presented which allow such information to be obtained despite the presence of unknown and purely stochastic error sources inherent in the mechanical system.