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2017

BURG

Grasping rigid objects has been reasonably studied under a wide variety of settings. The common measure of success is a check of the robot to hold an object for a few seconds. This is not enough. To obtain a deeper understanding of object

2011

CAMOMILE

Human activity is constantly generating large volumes of heterogeneous data, in particular via the Web. These data can be collected and explored to gain new insights in social sciences, linguistics, economics, behavioural studies as well as

2013

COACHES

Public spaces in large cities are increasingly becoming complex and unwelcoming environments. Public spaces progressively become more hostile and unpleasant to use because of the overcrowding and complex information in signboards. It is in

2015

Cocoon

In Cocoon, we interweave innovations in two distinctly different disciplines to understand and improve security of home IoT technology: emotion psychology and cyber security. We produce an understanding of the psychology of IoT users

2012

CONCERT

The objective of CONCERT is to develop a content ecosystem encompassing all relevant players which will be able to perform intelligent content and network adaptation in highly dynamic conditions under uncertainty. This ecosystem will have

2018

CONNECT

Internet of things (IoT) is slowly permeating every aspect of our lives; however, we are far from having a truly intelligent IoT. Smart sensors generate massive amounts of data continuously; for instance, an autonomous vehicle is expected

2014

COPES

Smart meters have the capability to measure and record consumption data at a high time resolution and communicate such data to the energy provider. This provides the opportunity to better monitor and control the power grid and to enable

2017

CORSMAL

CORSMAL proposes to develop and validate a new framework for collaborative recognition and manipulation of objects via cooperation with humans. The project will explore the fusion of multiple sensing modalities (touch, sound and first/third

2010

CQC

In classical information theory the major conceptual step, done by C. Shannon, was to abstract the intuitive notion of a communication channel, which lead to the development of classical information theory. With the development of quantum

2016

DELTA

Many complex autonomous systems (e.g., electrical distribution networks) repeatedly select actions with the aim of achieving a given objective. Reinforcement learning (RL) offers a powerful framework for acquiring adaptive behaviour in this

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