Consortium

The EasyWalk consortium pulls together the intertwined and orthogonal expertises of the three research units: UNIPD, UNIVE, and UNICT. In particular, the consortium as a whole has the following characteristics: 1) it fully covers the required skills and expertise to fulfill the objective of the project, namely a prototype of a social intelligent walker, with minimal gaps or overlaps between partners; 2) it grounds on heterogeneous and valuable mixture of know-hows in the fields of robotics, computer vision, and human-machine interaction; 3) it plans to create a critical mass of personnel and resources to maximize the translational impact of the project.

University of Padova

The UNIPD research unit grounds on the 20-year long expertise on robotics and human-robot interaction of the Intelligent Autonomous System Laboratory (IAS-Lab) of the Department of Information Engineering.

University of Venice

The Computer Vision and Machine Learning (CVML) lab at Ca' Foscari University has been conducting research in the field of Artificial Intelligence, particularly in the areas of machine learning, computer vision and pattern recognition, since 1995. Over the years, the CVML laboratory has contributed to the advancement of the state-of-the-art in these areas in both theoretical, methodological and applicative fields, becoming a national and international reference point. The group has an extensive network of scientific and industrial collaborations and regularly participates, often in the role of coordinator, in European (RePAIR, MEMEX, SIMBAD) and national research projects (PRIN).

University of Catania

UNICT has been involved in several national and international robotics projects involving demonstration and experimental trials. In particular recently we have developed strategies for a passive walker within the NATIFLIFE project (INTERREG Italia-Malta) and we developed an active walker within the SUMMIT project (PON 2014/2020).

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