Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage

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Our goal with this project is to develop a ground-breaking technology to virtually eliminate one of the most labour intensive and frustrating steps in archaeological research, namely the physical reconstruction of shattered artworks. Indeed, countless vases, amphoras, frescos and other ancient artefacts, all over the world, have not survived intact and were dug out from

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Radioactivity Monitoring in Ocean Ecosystems

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Natural radioactivity in the marine environment has been present since the Earth’s formation, while artificial radionuclides were introduced into theoceans in 1944. More recent direct sources exist that feed the oceans, such as low-level liquid discharges from reprocessing plants, large-scalereleases due to disasters (e.g. Fukushima hit by the tsunami in 2011), and smaller-scale radiological events.

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Goal-directed eye-head coordination in dynamic multisensory environments

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Rapid object identification is crucial for survival of all organisms, but poses daunting challenges if many stimuli compete for attention, and multiple sensory and motor systems are involved in the processing, programming and generating of an eye-head gaze-orienting response to a selected goal. How do normal and sensory-impaired brains decide which signals to integrate (“goal”),

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Big Data Challenges for Mathematics

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BIGMATH aims to train a group of young, creative mathematicians with strong theoretical and practical skills, necessary to tackle the major challenges of the Big Data era. They will also be trained in a wide set of “soft skills” that enable them to transfer effectively their knowledge to the productive world, thus fostering the European

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A European AI On-Demand Platform and Ecosystem

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AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a compelling solution for users. Involving 80 partners, covering 21 countries, the €20m project kicked off in January 2019 and will run for three years. AI4EU will unify

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Maintenance Drones and Robots to Enhance Renewable Energy Systems in the Atlantic Area

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DURABLE will accelerate the deployment of renewable energies in the Atlantic area through the validation and demonstration of previously developed aerospace technologies applied in robotics for operation and maintenance activities in wind and solar energy systems. The supporting robots will be adapted to perform tasks of inspection/surveillance and reparation reducing the high costs of these

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A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning

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Endowing robots with cognition is a long-standing and difficult objective. Substantial progress in cognitive science and neuroscience has led to the insight that cognition is tightly linked to the sensory and motor surfaces, and that cognition emerges during development from relatively low-level mechanisms when situated in a structured environment.Building on basic functions such as detection

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Marine robotics research infrastructure network

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Our oceans are the least-explored region of planet Earth. Protection and sustainable development of ocean resources presents formidable challenges. Robots will play an increasingly key role in the near future and this role will expand and become more challenging as we extend into deeper, remote and hostile marine environments. Europe leads in many aspects of

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European Robotics League plus Smart Cities Robot Competitions

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Smart cities offer a unique opportunity to demonstrate the benefits of using a variety of robotic applications in different living contexts for all European citizens. SciRoc will call for leading European robotics developers from European companies and research labs to send teams to demonstrate their technologies and systems in high profile competitive demonstrations in a

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Robotics for Goal-directed eye-head coordination in dynamic multisensory environments I

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Design, implementation and testing of a self-learning 'neuromorphic' eye-head orienting robotic system with bio-inspired head-motor, oculo-motor, visual and auditory systems, which is able to orient to an instructed 'goal' in a cluttered audio-visual environment. (Collaborative project with Prof. John van Opstal in the context of his ERC Advanced Grant ORIENT).

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