Artificial intelligence
We develop state-of-the-art solutions based on artificial intelligence in order to deal with challenges facing key sectors such as manufacturing, the circular economy and transport. We apply innovative techniques such as machine learning, neural networks and artificial vision with a view to increase the competitiveness of companies, improving sustainability and guaranteeing operational efficiency in complex environments.
Solutions
Artificial intelligence in manufacturing
We apply artificial intelligence (AI) with a view to optimising processes by designing efficient machine learning models to control robots and exoskeletons, and also 2D artificial vision and 3D deep learning-based techniques. Additionally, we integrate Explainable AI systems into industrial environments, thus improving trust, safety and spatial perception via augmented and mixed reality.
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AI applied to the circular economy
We develop AI tools to optimise the valuation and recovery processes of materials, allowing for efficient management of waste and waste resources. We apply predictive algorithms for analytical purposes and simulation with a view to maximising sustainability and reducing environmental impact. Our tools include lifespan prediction models, predictive maintenance and optimisation of recycling systems and waste treatment.
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AI in the transport sector
We apply artificial intelligence with a view to improving efficiency and safety in transport systems. We design algorithms to optimise routes, predict demand and improve energy consumption. We develop solutions for cooperative and connected mobility, real-time monitoring systems and digital twins that simulate and assess the dynamic behaviour of vehicles under different conditions.
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Sectors of application
Related projects
MIRAIA
In recent years, advances in artificial intelligence for robotics have enabled applications in unstructured environments, including medicine. MIRAIA focuses on...
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