Many commercial measurement processes are planned with little or no regard to optimality in terms of measurement time and the estimated uncertainty of measurement. This can be because the complexity of the planning problem makes optimality in a dynamic environment difficult to achieve, even with expert knowledge. This paper presents a novel approach to measurement planning using automated planning. Detailed information regarding the modelling and encoding of measurement processes are provided. The benefits of this approach are demonstrated through the results of applying it to machine tool calibration. A discussion is then formed around the development of future tools to further validate the approach.
|Title of host publication||Advanced Mathematical and Computational Tools in Metrology and Testing X|
|Editors||Franco Pavese, Wolfram Bremser, Anna Chunovkina, Nicolas Fischer, Alistair B Forbes|
|Number of pages||7|
|Publication status||Published - Jun 2015|
|Name||Advances in Mathematics for Applied Sciences|
Parkinson, S., Crampton, A., & Longstaff, A. (2015). Optimising Measurement Processes Using Automated Planning. In F. Pavese, W. Bremser, A. Chunovkina, N. Fischer, & A. B. Forbes (Eds.), Advanced Mathematical and Computational Tools in Metrology and Testing X (Vol. 86, pp. 286-292). (Advances in Mathematics for Applied Sciences; Vol. 86). World Scientific.