Horizon 2020-BONA

Artificial intelligence-driven robotic object handling system with persistent learning capabilities. The aim of the IntelliMan project is to develop a robotic system for manipulating different elements with high performance and constant learning capabilities through a heterogeneous set of sensors, for advanced robotics, manufacturing and prosthetic services. This system will be able to adapt to the characteristics of its environment and to decide how to execute a task autonomously, detecting flaws in its execution and requesting new knowledge through interaction. Ensuring security and performance, IntelliMan's advances range from learning manipulation skills to abstract descriptions of a handling [...]

Paradigm shift for a healthy and sustainable diet in schools through the empowerment of children and adolescents. The main goal of the SchoolFood4Change project is to provide systemic solutions for a healthy and sustainable diet by empowering children and adolescents in and around schools to fight against the increase of poverty and obesity. The implementation of different innovation teaching strategies are part of the concept specifically designed for the project: "Whole School Food Approach". Some examples of these strategies are involving farmers when providing food for school menus, establishing collaborations with all the stakeholders of the [...]

Design of stabilisation and recovery technologies for metallic soil pollutants by means of native microorganisms. The BiMeSOIL project has the objective to revalue contaminated soils through a tailor-made in situ treatment design by using specialized native microorganisms in order to improve the leaching or stabilisation processes of problematic metals, such as lead, arsenic, chromium, cadmium or mercury. Soil characterization and directed biological research will lead to tailored in situ treatment processes through bioremediation (biomagnification and bioaugmentation) or mixed techniques (combined biological and physicochemical). These are some objectives of the project: Soil physical characterization. Contaminant identification. Biological [...]

Development of an immersive online social space based on extended reality through a machine learning agent. The GuestXR project aims to create an immersive online social space through extended reality, where the focus is on the existence of a machine learning agent called "The Guest", which can facilitate interaction between participants to help them achieve their intended goals. "The Guest" is able to analyse the individual and social behavior of the participants based on existing theoretical models from the point of view of neuroscience and social psychology. Additionally, thanks to machine learning, "The Guest" learns over time [...]

Development of signal processing modules bounded with data-driven Virtual Sensors and novelty/anomaly detection Machine Learning solutions, specifically addressed for the manufacturing industry. BBI4.0 is a sub-project of the European Factory Platform (EFPF) which proposes to implement novel data-driven Predictive Maintenance (PM) solutions tailored to industrial applications. The proposed objectives and modules extend the EFPF platform functionalities and demonstrate their main capabilities by developing bespoke solutions for pilot use cases. The specific objectives of the project are: Design and develop signal processing and pattern recognition modules and solutions customized to manufacturing sensor data. Design, develop and extend [...]

Development of technologies to remove pollutants from soils, sediments, surface- and groundwater, that can be harmful to human health. The PROMISCES project develops, tests and demonstrates in the field, under real-life conditions, key technologies and innovations to monitor, prevent and remediate industrial persistent and mobile and potentially toxic pollutants in the soil-sediment-water system. At this sense, PROMISCES project identifies how industrial pollution prevents the deployment of the circular economy (CE) in the EU and which strategies help overcome key bottlenecks to deliver the ambitions of the European Green Deal and Circular Economy Action Plan. PROMISCES considers [...]

Development of a new platform for growth and maturation of cardiac microtissues for adult-like organotypic models. The EMAPS-Cardio project proposes realistic heart models that can help to advance the understanding of several prevalent heart diseases, such as heart attacks and strokes, while striving to be sufficiently accurate to detect drug potency in both healthy and diseases tissues. To achieve this, biomimetic microenvironment, that provides all the needed stimuli, and biomechanical have been developed by combining electro-mechanoactive polymer-based scaffolds (EMAPS) with bioactive membranes. Currently, cardiovascular diseases (CVDs) account for 45% of deaths in Europe and are estimated [...]

Development of an innovative platform based on aged cardiac tissue model in order to evaluate the environmental toxicology of chemical mixtures. The ALTERNATIVE project is developing an in vitro platform with the objective to culture a 3D functional human cardiac tissue to evaluate the cardiotoxicity of chemical compounds and the impact of toxic substances on the population, especially in elderly and people with chronic diseases. The novel developed platform will enable regulators and industry to identify, quantify and prevent cardiotoxic co-exposures to industrial chemicals and pharmaceuticals in a cost-effective way. Additionally, the implementation of computational models [...]

Dynamic information management approach for the implementation of climate resilient adaptation packages in European regions. The IMPETUS project aims at accelerating Europe’s climate change response and turning commitments into concrete action, developing innovative measures to make its regions more resilient. Moreover, the project explores the synergies between climate change mitigation, supporting regional socio-economic growth and stability, and transition of communities to ecological sustainability and resilience. Within the project, each of the 7 bioclimatic regions of Europe – Arctic, Atlantic, Boreal, Coastal, Continental, Mediterranean and Mountainous - host seven regional test beds where innovative solutions are piloted [...]

Next generation of effective and intelligent water-related policies using Artificial Intelligence and reinforcement learning to assess the water-energy-food-ecosystem (WEFE) nexus. The NEXOGENESIS project aims to support the development of policies that manages resources effectively. To do so, the project is developing and validating a coherent cross-sectorial policy-making framework at different scales, addressing climate and socio-economic change, as well as stakeholder behaviour and transboundary (diplomacy) issues. This solution is developed for and validated by stakeholders, policy makers and academics. Using Artificial Intelligence and Machine Learning techniques, a Self-Learning Nexus Assessment Engine (SLNAE) will be developed to support [...]

Development of safe, cost-effective agricultural mobile robots with smart precision spraying tools, mainly directed at vineyards but applicable to all permanent crops. The SCORPION project develops modular autonomous robots to bring value to small-size agricultural machinery through its automation and optimization of spraying tasks by novel ecological approaches, thereby reducing downtime costs, soil compaction, and human exposure to chemicals. The modular design used within the project considers the scalability of functions, allowing robots to further perform tasks such as pruning and harvesting, while being compliant on existing and future agricultural interoperability standards. Eurecat participates in the [...]

Development of an alternative source of Critical Raw Materials (CRM) on Aluminium Alloys for electrical vehicles. The SALEMA project, coordinated by Eurecat, proposes a circular economy model using scrap metal as an alternative source of CRM and the substitution of them for commonly available alloying elements. The project is addressing in a coordinated and cooperative manner the key challenges in the different levels of the value chain: Improving scrap classification and sorting systems to turn scrap into a valuable raw material Demonstrating the feasibility to substitute CRMs in alloying systems Developing recycled aluminium alloys with improved [...]

Innovative generation traffic management for empowering CAVs integration, cross-stakeholders collaboration and proactive multi-modal network optimisation. The FRONTIER project, coordinated by Eurecat, aims to provide the network and integrated traffic management strategies of the future, considering new types and modes of transport and automated vehicles (including logical and physical requirements), the minimisation of pollution and capacity bottlenecks (including congestion and traffic jams), the reduction of accidents, and the need to reduce the cost of mobility for all users (both citizens, public authorities and businesses). On the operational level FRONTIER facilitates the transition towards resilient multimodal autonomous mobility [...]

Development of innovative AI-based solutions with the objective to optimise hospital processes and to improve the quality of patient care. The AICCELERATE project develops a cloud-based tool and combines Artificial Intelligence and autonomous robotics with the aim of promoting a state-of-the-art hospital model that incorporates new services and processes to intensive care units, surgical rooms and rooms, ranging from functions related to the logistics and transportation of medicines to disinfection, among others. Nowadays, most Artificial Intelligence (AI) solutions applied to the health sector are limited to isolated applications. For this reason, scalable models that address data [...]

Development of benign cascade extractive biorefinery for converting agri-food side streams into high-value polyphenolic bioactives and functional fibres for pharma, cosmeceuticals, nutraceuticals and food products. The PHENOLEXA product has the objective to unlock the potential of polyphenols-rich agri-side streams (olive, grape shoots and leaves, chicory, and onion residues) to procure bioactive compounds of high value via the development of cascade smart biorefinery which combines pretreatment of the biomass with benign environmentally friendly green solvents extraction technology. According to Eurostat, the agricultural sector is the biggest producer of the residual biomass in Europe, generating annually approximately 400 [...]