Axiomatic Design Theory Applied for Development of Empirical Control Strategy for Learning Robot

Abstract

The presented research work refers to the development of a completely new approach in the design of manufacturing systems and processes for machining parts, based on the application of artificial intelligence techniques, such as artificial neural networks and genetic algorithms, as well as axiomatic design theory. This research activity arose as a result of scientific work on the development of software for the simulation of manufacturing systems and new methods for scheduling of production, and were verified in the direct engagement of authors in scientific-research and technological projects for the needs of metal processing industrial companies.