Consortium

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Universidad Carlos III

The Universidad Carlos III de Madrid (UC3M) is a public university founded in 1989. Its main goal is to provide specialised training in Law and Social Sciences and Engineering, as well as to become a prime European research centre. In addition, the Universidad Carlos III de Madrid pursues the creation of an innovative university and seeks to offer a University model based on a quality-oriented philosophy. In this sense, modern, flexible and multidisciplinary curricula have been designed trying to suit the scientific and technological demand of the Society. The university is located in the southern metropolitan area of Madrid and consists of five centres, 2 Faculties, 1 Technical School, 1 School of Graduate Studies and 1 Doctoral School in 4 Campuses. Concerning the training area, the Universidad Carlos III de Madrid was the first in Spain to be fully adapted to the requirements of the European Higher Education Area (EHEA) (The Bologna Process) and offers studies in most of the scientific disciplines.

Role

To evaluate and calibrate the application and the AI algorithms in real scenarios related to domestic assistance robots, to demonstrate the main indicators and expected outcomes. (Task 7.3), and will lead the use cases work package (WP7) In addition, UC3M will actively contribute to the dissemination activities as it has a deep experience in organizing events (IROS 2018, HUMANOID 2014) and leading collective dissemination efforts in top trade EUROPEAN FORUM, EU-ROBOTICS board of directors.

Meet the team

Juan G Victores
Juan G VictoresAssociate Professor (UC3M) - Researcher in Robotics and AI (RoboticsLab) - PhD in Electrical Engineering, Electronics and Automation
Alberto Jardón
Alberto JardónLecturer at UNIVERISIDAD CARLOS III DE MADRID
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The ALMA project leverages AML properties to develop a new generation of interactive, human-centered machine learning systems.

Coordinator Office Address

Plaza de la Encina 10-11, Núcleo 4, 2ª Pl.
28760 Tres cantos - Madrid (España)

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EN-Funded_by_the_EU-POSThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952091.