As part of the RACOSOUD project, high-performance tools for data processing, including those incorporating AI-based models, have been used in order to use the physical measurements collected during the welding process. The study was devoted to the resistance welding process.
The AUTO RX feasibility study is aimed at testing several approaches for putting in place a system that uses artificial intelligence to assist decisions based on digital X-ray images. The study compares two techniques adapted to limited image bases with a standard approach.
Designed to address the need for a collaborative robot that can handle heavier loads than those available in the market, SybXL is an innovative heavy payload (35 kg) cobot that is the result of collaboration between CEA-List and industry. While not all the challenges relating to the design of such a cobot have been met to date, major scientific advances have been made, such as a double-acting cable cylinder which synchronises the axes or a balancing system with multiple springs.
Comparative study of the players of Industry 4.0.
The aim of the TEKNUM project is to develop in-depth and up-to-date understanding of 2D, 3D and multi-scale and multimodal digitisation technologies to detect faults in a manufacturing environment, with the best compromise between precision, speed and cost.
The CESAME F project is aimed at studying functional needs to better control clamping and sealing thanks to shape memory alloys, which offer a potential advantage to industry.
