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Training

Green hydrogen

CT is participating in the development of a zero-emissi...

CT, in collaboration with NODOSA shipyards and the University of Vigo, is participating in the design of a harbour tugboat fully propelled by green hydrogen. The H2TECH4SHIP project is being conducted under the auspices of Navantia’s lead project, INNCODIS, as part of...

CT is participating in the development of a zero-emissions tugboat powered by green hydrogen

Sustainable aircraft

The ONEiRE R&D initiative, focused on pioneering th...

The objective of the ONEIRE project -OPTIMUM NEXT GENERATION AIRCRAFT & INTEGRATED REAR END- was to delve into the early design phases of the new generation of hydrogen-powered aircraft with low to zero emissions. The project concentrated on four key areas:...

The ONEiRE R&D initiative, focused on pioneering the next generation of hydrogen-powered aircraft with low to zero emissions, has successfully concluded.

Artificial Intelligence

CT pioneers an autonomous, eco-friendly system for plas...

Plastic waste is suffocating our oceans, with eight million metric tons entering the waters each year—equivalent to a garbage truck’s load every minute. This crisis spans from the ocean depths to human health, as plastics infiltrate the entire food chain. Using river...

CT pioneers an autonomous, eco-friendly system for plastic waste capture in river and marine environments

Artificial Intelligence

CT leads innovation in industrial processes with Imagin...

In a groundbreaking collaboration, CT is at the forefront of revolutionizing industrial processes with the launch of ImaginA project. This initiative marks a significant progress in applying state-of-the-art artificial intelligence (AI) and computer vision technology...

CT leads innovation in industrial processes with ImaginA project: a leap towards enhanced efficiency through computer vision

Airborn Wind Energy Systems

CT studies automatic control of AWE system trajectories...

CT is making progress with the IADGENOL R&D project aimed at researching Deep Learning models for the automatic control and characterisation of AWE (Airborne Wind Energy) systems for wind energy generation, forming part of the framework of the Red.es call for...

CT studies automatic control of AWE system trajectories using advanced Deep Learning technologies

Additive manufacturing

CT advances in the optimisation of additive technologie...

CT, from its delegation in Bilbao, leads the Basque R&D initiative ADDHOC, which will develop a new family of digital tools, CAx, to introduce new metallic additive technologies in industrial sectors with mechanical, short series and highly customized...

CT advances in the optimisation of additive technologies in the ADDHOC R&D project

Space

CT plays a pivotal role in developing standard and modu...

Around the world, various small space launcher initiatives have emerged to provide more affordable and flexible satellite launch services. These initiatives have become possible due to the miniaturization of components and a shift toward smaller, resilient satellite...

CT plays a pivotal role in developing standard and modular launch base services for small satellites in the SAMMBA R&D project

Business Intelligence

CT drives the automation and digitalization of operatio...

CT is part of a group of multi-disciplinary organizations and companies, which have joined together to drive the optimization of product traceability and management of land logistics routes using artificial vision and data science. The project is coordinated by...

CT drives the automation and digitalization of operations in the livestock-meat chain through the TRACVI R&D project

Composite materials

CT has successfully completed WELDER, a toolkit for nex...

WELDER Consortium members Le projet WELDER de Clean Sky 2 a livré et mis en service avec succès les têtes de soudage par ultrasons et par résistance. Les deux nouvelles solutions de soudage remplaceront les systèmes d’assemblage conventionnels reposant sur la...

CT has successfully completed WELDER, a toolkit for next-generation aeronautics equipment

Digital transformation

CT to optimize the industrial assembly processes by usi...

This software will be designed for highly intensive assembly processes in the aeronautical, automotive and rail sectors. CT will simulate and model in 3D the process to optimize assemblies. CT has initiated the R&D project VAREAL which will develop a new platform...

CT to optimize the industrial assembly processes by using augmented and virtual reality technologies