Of the Information and Communication Technologies (ict) Theme of the European Commission ’ s 7 th Framework




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CHALLENGE 2: Cognitive Systems, Interaction, Robotics


Projects resulting from Call 1* – short abstracts


January 2008


of the Information and Communication Technologies (ICT) Theme of the European Commissions 7th Framework

Programme: http://cordis.europa.eu/fp7/dc/index.cfm?fuseaction=UserSite.CooperationDetailsCallPage&call_id=11


FP7-ICT-214856-ALEAR


Artificial Language Evolution on Autonomous Robots


Participants

Humboldt-Universität zu Berlin

Manfred Hild

Sony France S.A. CSL Paris

Luc Steels

Universität Osnabrück

Frank Pasemann

Universitat Autonoma de Barcelona

Oscar Villaroya

Vrije Universiteit Brussel

Ann Nowé

Universitatea Alexandru Ioan Cuza, Iasi

Dan Cristea


Abstract


ALEAR will build autonomous social humanoid robots that co-develop cognitive and language capabilities through situated interaction. It adopts a whole system approach tackling the complete chain from embodiment and sensori-motor action to conceptualisation and language. Work includes carefully controlled experiments in which autonomous humanoid robots self-organise rich conceptual frameworks and communication systems with features similar to those found in human languages. The machinery required for these experiments will drive the state-of-the-art in all relevant technologies, particularly robotics, concept formation, computational linguistics and AI.


Duration

36 months (01/02/2008 - 31/01/2011)

Total EU funding

3.399.223 EUR




FP7-ICT-215370-ChiRoPing


Developing Versatile and Robust Perception using Sonar Systems that integrate Active Sensing, Morphology and Behaviour



Participants

Syddansk Universitet

John Hallam

Universiteit Antwerpen

Herbert Peremans

The University of Edinburgh

Robert B. Fisher

Universität Ulm

Elisabeth Kalko


Abstract


The principal objective of this project is to find ways of engineering versatile and robust systems able to respond sensibly to challenges not precisely specified in their design. It focuses on embodied active sonar perception systems that can serve as a complement to vision and facilitate the deployment of robotic systems in situations where vision is infeasible. To achieve its objective the project will model the bat's coordination of its acoustic, behavioural and morphological choices while hunting. Two bio-mimetic demonstrators will be implemented, and evaluated on tasks analogous to the hunting tasks of their living prototypes. Roboticists and ethologists will closely collaborate.


Duration

36 months (01/02/2008 - 31/01/2011)

Total EU funding

2.500.000 EUR




FP7-ICT-215805-CHRIS


Cooperative Human Robot Interaction Systems


Participants

University of the West of England, Bristol

Christopher Melhuish

Centre National de la Recherche Scientifique

Rashid Alami

Fondazione Istituto Italiano di Tecnologia

Giorgio Metta

Max-Planck Gesellschaft zur Förderung der Wissenschaften EV

Felix Warneken

University of Bristol

Mike Fraser

Université Lyon 2 Louis Lumière

Peter Ford Dominey


Abstract


CHRIS addresses fundamental issues related to the design of safe human robot interaction. Robots and humans are assumed to share a given environment and to cooperate on tasks. The primary research question is: How can interaction between a human and an intelligent autonomous agent be safe without being pre-scripted and still achieve the desired goal? The key hypothesis is that safe interaction between humans and robots can be engineered physically and cognitively for joint physical tasks requiring co-operative manipulation of real world objects. Engineering principles for safe movement and dexterity will be explored on three robot platforms, and developed with regard to language, communication and decisional action planning where the robot reasons explicitly with its human partner. Integration of cognition for safe co-operation in the same physical space will spawn significant advances in the area, and be a step towards genuine service robotics.


Duration

48 months (01/03/2008 - 29/02/2012)

Total EU funding

3.650.000 EUR




FP7-ICT-216594-CLASSiC


Computational Learning in Adaptive Systems for Spoken Conversation


Participants

The University of Edinburgh

Oliver Lemon

Ecole Supérieure d' Electricité - Supélec

Olivier Pietquin

The Chancellor, Masters and Scholars of the University of Cambridge

Stephen Young

Université de Genève

Paola Merlo

France Télécom SA

Philippe Bretier


Abstract


The overall goal of the CLASSiC project is to facilitate the rapid deployment of accurate and robust spoken dialogue systems that can learn from experience. The approach will be based on statistical learning methods with unified uncertainty treatment across the entire system (speech recognition, natural language processing, dialogue generation, speech synthesis). It will result in a modular processing framework with an explicit representation of uncertainty connecting the various sources of uncertainty (understanding errors, ambiguity, etc) to the constraints to be exploited (task, dialogue, and user contexts). The architecture supports a layered hierarchy of supervised learning and reinforcement learning in order to facilitate mathematically principled optimisation and adaptation techniques. It will be developed in close cooperation with the industrial partner in order to ensure a practical deployment platform as well as a flexible research test-bed.


Duration

36 months (01/03/2008 – 28/02/2011)

Total EU funding

3.400.000 EUR




FP7-ICT-214975-CoFRIEND


Cognitive and Flexible learning system operating Robust Interpretation of Extended real sceNes by multi-sensors Datafusion


Participants

Silogic SA

Luc Barthelemy

Universität Hamburg

Bernd Neumann

University of Leeds

Anthony G. Cohn

The University of Reading

James Ferryman

Institut National de Recherche en Informatique et en Automatique

François Bremond

Aeroport Toulouse Blagnac SA

Lionel Bousquet


Abstract


The Co-FRIEND project aims to create a prototype system for the representation and recognition of human activity and behaviour. This requires improving the performance of relevant cognitive functions such as learning, dynamic context adaptation, perception, tracking, recognition, and reasoning, and their integration in a complete artificial cognitive vision system. The project will develop a framework for understanding human activities in real environments through the identification of objects and events. Feedback and multi-data fusion will be exploited to achieve robust detection and efficient tracking of objects in complex scenes. The cognitive capabilities of the system, implemented as a heterogeneous sensor network, will be demonstrated by applying it to the monitoring of outdoor airport activities.


Duration

36 months (01/02/2008 -31/01/2011)

Total EU funding

2.800.000 EUR




FP7-ICT-215181-CogX


Cognitive Systems that Self-Understand and Self-Extend


Participants

The University of Birmingham

Jeremy Wyatt

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH

Geert-Jan Kruijff

Kungliga Tekniska Hogskolan

Patric Jensfelt

Univerza V Ljubljani

Aleš Leonardis

Albert-Ludwigs-Universität Freiburg

Bernhard Nebel

Technische Universität Wien

Markus Vincze


Abstract


CogX tackles the challenge of understanding the principles according to which cognitive systems should be built if they are to handle novelty, situations unforeseen by their designers, and open-ended, challenging environments with uncertainty and change. The aim is to meet this challenge by creating a theory — evaluated in robots — of how a cognitive system can model its own knowledge; use this to cope with uncertainty and novelty during task execution; extend its own abilities and knowledge; and extend its own understanding of those abilities. Imagine a cognitive system that models not only the environment, but its own understanding of the environment and how this understanding changes under action. It identifies gaps in its own understanding and then plans how to fill those gaps so as to deal with novelty and uncertainty in task execution, gather information necessary to complete its tasks, and to extend its abilities and knowledge so as to perform future tasks more efficiently.


Duration

50 months (01/05/2008 - 30/06/2012)

Total EU funding

6.799,947 EUR
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