The main aim of this project is to develop new intelligent methods for the robotic handling of non-rigid materials such as fabrics. The project is focused in the automated sewing of fabrics using a multi-sensor fusion system as well as in the quality control of the fabrics using machine vision. The innovative approaches will be based on Artificial Intelligent methods: Fuzzy Logic and Neural Networks.

The objectives:

• • To train new researchers in the technology of automated handling of non-rigid materials and the technology of the cloth making industry.
  • To develop intelligent algorithms for fabric handling strategies and for fabric quality control.
  • To develop experimental intelligent devices, for separating-handling-translating-inspecting fabrics, in order to test the intelligent algorithms in laboratory conditions.
  • To develop and test an integrated experimental system for the robotic sewing and the fabric quality control.

To demonstrate the results (acquired knowledge and experimental devices) in cloth making industries.

The aim of this research project is to develop methods for the automatic generation of plane patterns of doubly curved surfaces.

Two methods have been developed during this project. The first one takes into consideration the elasticity of the surface material and the second one takes into account only the geometry of the doubly curved surface. Both methods require a proper triangulation of the original surface.