National Projects

Explainable models for predicting players’ behaviour and cognitive and emotional state in e-sports. The E-SPORTS project develops an innovative platform for training e-sports players in the game League of Legends, based on machine learning models capable of analysing both user behaviour and cognitive and emotional state. The platform integrates interaction data from peripherals and computer vision with psychophysiological measures such as heart rate, electrodermal activity (variation in the skin’s electrical conductivity) and the recording of brain electrical activity through electroencephalography (EEG). This combination of data enables the generation of personalised, adaptive and sustainable training experiences over [...]

Optimising hospital management through digital twins and AI INABED Smart Twins enhances hospital management with digital twins, AI, and predictive models. The project addresses challenges in bed occupancy and resource allocation by using the Care Necessity Index (INA), real-time data analysis, and an interactive visualisation platform. This innovative solution optimises decision-making in hospital management, providing healthcare managers with an advanced tool based on the combination of technology and clinical data. The project expects to dramatically reduce waiting times for bed assignments and improve resource allocation. The INA Index allows for a more equitable distribution [...]

Intelligent companionship for the well-being and preventive medicine of the elderly. The AIMARA project develops an intelligent virtual assistant capable of seeing, listening, and interacting naturally with the user and offering them personalized content. Its primary goal is to provide companionship to people over the age of 70 in situations of unwanted loneliness, using advanced technologies that reinforce the sense of support and proximity. The solution is based on a distributed architecture that combines edge computing, which processes data locally to ensure an immediate, real-time response, with cloud components dedicated to global management and data analysis. [...]

A platform to support and facilitate clinical communication for women during pregnancy and postpartum. The ASISTE project is developing a platform to improve support for women during pregnancy and the postpartum period within the hospital environment. The solution facilitates the understanding of clinical information and reinforces adherence to medical recommendations. The tool is based on intelligent recommendation systems to offer personalized educational content according to each user's profile, needs, and interaction. In this regard, the system analyzes declarative and usage data to generate contextualized recommendations, prioritize relevant content, and optimize the user experience. Additionally, it incorporates [...]

Comprehensive methodology to design, manufacture, characterize, and simulate high-performance plasma actuators for industrial applications, with a focus on electronic device cooling and aerodynamic system optimization. Dielectric Barrier Discharge (DBD) plasma actuators have emerged as an innovative technology with great potential, thanks to the absence of moving parts, their high response speed, and design flexibility. However, their development is still limited by the lack of holistic studies analysing the effect of multiple design, material, and control variables, as well as by the absence of accurate simulation models capable of reliably predicting their behaviour. In this context, the [...]

Artificial intelligence-based technological platform for the optimization of the perioperative process in cardiovascular surgery OPTIMUS develops a digital platform based on artificial intelligence to improve the quality of life of patients undergoing cardiovascular surgery. The solution integrates advanced digital health technologies, predictive analytics and clinical decision support systems (DSS) for personalized surgical planning and postoperative monitoring. The platform enables improved preoperative preparation, reduces postoperative complications and supports faster recovery, contributing to shorter hospital stays and greater healthcare system efficiency. The system addresses the entire perioperative process (before, during and after surgery) in an integrated manner, going [...]

Integrated methodology for PFAS removal in drinking water based on advanced technologies Perfluoroalkyl and polyfluoroalkyl substances (PFAS) represent a growing challenge in drinking water management due to their persistence and their potential impact on public health and the environment. The detection of concentrations exceeding the limits established in the Spanish Royal Decree 3/2023 at various water intake points highlights the urgent need to develop effective solutions that ensure regulatory compliance and the protection of public health. In this context, the PFAS-CLEARWATER project develops and validates an integrated methodology that combines advanced technologies for the effective removal [...]

Artificial Intelligence tools platform to automate the management, production and distribution of audiovisual content. The Plataforma MedIA project is an innovative initiative aimed at democratising access to Artificial Intelligence in the audiovisual domain by removing the technical barriers that currently limit its adoption. The project will enable companies, non-broadcast media organisations, educational institutions and public administrations to produce, manage and distribute high-quality audiovisual content without the need for specialised knowledge in AI or advanced technologies. To achieve this, Plataforma MedIA will develop a comprehensive suite of tools based on existing open AI models, which will be [...]

Sustainable and customizable energy solutions for next-generation devices. The PHOTO-RECIRCUIT project drives the development of sustainable and customizable energy solutions for next-generation Internet of Things (IoT) devices, aimed at extending their lifespan and reducing their environmental impact. This initiative is developing a disruptive printed circuit board (PCB) technology using recycled steel substrates, designed to tackle the industry's heavy reliance on batteries and critical raw materials. The solution is based on PCBs with a recyclable steel core, functionalized with advanced vitreous coatings and integrated photovoltaic harvesters. This architecture enables the creation of low-power IoT devices that overcome [...]

Advanced protective coatings obtained through PVD and CVD to increase the service life of tools, dies and moulds used in hot-working material processes. HOT-COAT develops advanced protective coatings, obtained through PVD (Physical Vapor Deposition) and CVD (Chemical Vapor Deposition) technologies, to increase the service life of tools, dies, and molds used in hot-working material processes (hot forging, hot stamping, and plastic injection molding), while also improving the quality of the final surface finish of the processed parts. To this end, the project includes the implementation of new technologies for producing coatings with high functional performance (tribomechanical, [...]

Autonomous system for internal blade inspection aimed at predictive maintenance in wind turbine blades. The project develops an autonomous system for the internal inspection of wind turbine blades using a pendular drone specifically designed to operate in confined environments with complex internal geometries. The system integrates advanced sensing technologies—such as LiDARs (Light Detection and Ranging), optical and thermal cameras, and ultrasound sensors—combined with artificial intelligence techniques to accurately and automatically detect structural defects. In addition, the project incorporates GPS-denied autonomous navigation based on SLAM techniques (Simultaneous Localization and Mapping), advanced trajectory control and real-time data transmission, [...]

Autonomous platform for intelligent sewer network inspection. The DRONSEWER project develops an autonomous platform for intelligent sewer inspection using a drone equipped with computer vision, LiDAR sensors (Light Detection and Ranging) and advanced artificial intelligence algorithms. The system automates the inspection of internal channels, enhances operator safety, and generates objective data to optimize infrastructure management and maintenance. DRONSEWER integrates a robotic platform resistant to harsh environments, an advanced navigation system capable of operating without GNSS (Global Navigation Satellite System), and real-time obstacle avoidance methods. It also incorporates artificial intelligence tools for automatic defect localization and quantification, [...]

Autonomous and integrated cognition for robots in dynamic and variable scenarios The COGNITIUM project develops an advanced cognitive robotic system based on the TIAGo PRO platform, designed to operate autonomously in semi-structured and highly variable environments. The project, carried out by the Robotics and Automation unit of Eurecat together with PAL Robotics, aims to progress from technology readiness levels (TRL) 3–4 up to TRL 5, with a functional demonstration in a relevant environment. COGNITIUM integrates state-of-the-art advances in cognitive robotics, intelligent manipulation and generative artificial intelligence, combining perception, semantic understanding and autonomous action execution. The project [...]

Innovative, sustainable, and smart solutions to improve tourism management in Barcelona. The TIC I TURISME project promotes the use of technology, data, and innovation to optimize tourism management in Barcelona, fostering a more sustainable, intelligent, and responsible model The project includes several complementary actions aimed at generating knowledge, improving existing digital tools, and promoting technology transfer to the sector. Among them, the statistical operation for measuring the occupancy of tourist accommodations through the Tourism Data System (TDS) stands out, providing reliable and up-to-date indicators to support decision-making. Additionally, a study based on mobile phone data has [...]

Object reconstruction and instant pose assessment for the automation of intralogistics and manufacturing operations. The ORIGAMI project develops an advanced perception-driven robotic technology to enhance BitMetrics’ Pick[+] solution, enabling robots to manipulate unknown, moving, and cluttered objects in real time. The project combines automatic 3D reconstruction with visual servoing in a unified closed-loop framework, allowing robot actions to be continuously updated based on live visual input. ORIGAMI offers a highly accurate, adaptive, and versatile alternative to traditional picking systems, which often separate perception and motion planning and struggle to respond to unexpected object movements or dynamic [...]