CeNTI -

Other Areas

GRIPIT

Gripper for Robotic Intelligent Processing in Textiles

The GRIPIT project proposes the development of an innovative robotic solution to address a key challenge in the textile industry: the handling of non-rigid textile materials. Currently, this process is largely carried out manually, which may lead to variability in product quality and increased operational costs.

In this context, the project aims to develop an intelligent robotic gripper with enhanced adhesion properties, capable of combining active vacuum generation solutions for handling of textile structures with different typologies, densities and fibre compositions. This solution will enable the automation of handling processes, contributing to improved performance and greater versatility in textile operations.

The new gripper will be controlled by machine learning algorithms developed specifically within the scope of the project, enabling more efficient adaptation to the varying characteristics of the materials being processed.

GRIPIT

Main Goals/Activities

  • Develop interface materials to improve the adhesion of the robotic gripper to textile materials.

  • Develop sensing systems integrated into the gripper to monitor operating conditions and events associated with the contact interface.
  • Develop a mechanical and robotic handling system adaptable to different types of flexible textile materials.

With support of: