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RAMCIP 1st Newsletter

18 Sep 2015

NewsletterThe first RAMCIP newsletter is now available in PDF format.

RAMCIP (Robotic Assistant for MCI Patients at home) is a Research and Innovation Action (RIA) funded by the EU in the context of the HORIZON2020 programme, with the aim to research and develop a novel domestic robotic assistant for MCI and early AD patients.

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RAMCIP was presented in the 1st Training Event of the EU-funded ACROSSING project (H2020 Marie Sklodowska-Curie ITN project), which was held in Thessaloniki, Greece, on 14-16 September 2016. During the event’s “demo and interaction sessions”, Early Stage Researchers (ESRs) and Beneficiaries of the ACROSSING project were shown live demonstrations of core technologies of the RAMCIP robot, through the preliminary platform of RAMCIP, which is currently located at the premises of CERTH-ITI.

AAIC

The RAMCIP Project was presented in the Alzheimer Association International Conference 2016 held in Toronto, Canada from 22-28 July. This is the largest meeting for the researchers in dementia around the world, with more than 70 countries participating and gathering together over 5000 participants that include: clinicians, care providers, students and investigators.

heraklion meeting

The fifth plenary meeting of the RAMCIP project was held in Heraklion of Crete, Greece, on 7-8 July 2016, hosted at the premises of the Foundation for Research and Technology Hellas (FORTH). During this meeting, the RAMCIP partners presented their advancements and progress with respect to the previous meeting, especially in the scope of the project’s technical developments on the algorithms and methods, as well as their integration on the first version (V1) of the RAMCIP robot.

robocup

RAMCIP took part in an exhibition accompanying the RoboCup2016. This international event has started in 1997 in Japan and is organized every year in a different city. This year it took place on 30.06.2016 – 4.07.2016 in Leipzig, eastern Germany.

automatica

At Automatica, Shadow Robot demoed a system including concepts and functionality developed for RAMCIP. The system was comprised of a Shadow E1 Dexterous Hand, a UR10 arm and an Asus Xtion structured Light 3D camera. An array of objects taken from the YCB object set were presented on a table in front of the user for detection and recognition. The user could then select an object simply by pointing at it. This was implemented using the skeleton tracking and action recognition modules developed by CERTH for RAMCIP.