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TLR-SHOE

Multi-axis automatic path generation systems for sanding and rebating operations

Field
Regional
Date
01/01/2021 - 31/12/2021
Industry
  • Manufactura
Budget
246,386,25 €
Funded by

IVACE

PROJECT INFORMATION

DESCRIPTION

The automation of operations centered on the assembled cut, such as sanding or trimming, is relatively well established in the industry, although given the precision required and the variability of models and sizes present in footwear, it requires a slow, tedious manual process of learning the path, which leaves the machine out of the production line during the process. For this reason, INESCOP, within the framework of the TLR-SHOE project, financed by IVACE and FEDER funds, is working on the automatic generation of this type of multi-axis trajectories by means of a system that allows their digitalization. The objective of TLR-SHOE is the automatic generation of trajectories suitable for the complete automation of grinding or sanding tasks by incorporating innovative technologies based on 3D vision and artificial intelligence that can be incorporated into different existing machines on the market or into compatible robotic systems.

The automation of operations centered on the assembled cut, such as sanding or trimming, is relatively well established in the industry, although given the precision required and the variability of models and sizes present in footwear, it requires a slow, tedious manual process of learning the path, which leaves the machine out of the production line during the process. For this reason, INESCOP, within the framework of the TLR-SHOE project, financed by IVACE and FEDER funds, is working on the automatic generation of this type of multi-axis trajectories by means of a system that allows their digitalization. The objective of TLR-SHOE is the automatic generation of trajectories suitable for the complete automation of grinding or sanding tasks by incorporating innovative technologies based on 3D vision and artificial intelligence that can be incorporated into different existing machines on the market or into compatible robotic systems.

Impact

The implementation of this technology in the production process increases the productivity of sanding and grinding operations. The automation of these processes improves efficiency and increases the occupational safety of the operators.

Entities

INESCOP

Contact information

Francias Aran Ais
R&D&I Coordinator

INESCOP

Technological capabilities

IA
Artificial Vision