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RACE

Project reference: 287752
Funded under

Robustness by Autonomous Competence Enhancement

From 2011-12-01 to 2014-11-30

Project details

Total cost:

EUR 3 959 142

EU contribution:

EUR 2 997 298

Coordinated in:

Germany

Call for proposal:

FP7-ICT-2011-7See other projects for this call

Funding scheme:

CP - Collaborative project (generic)
The aim of RACE is to develop an artificial cognitive system, embodied by a service robot, able to build a high-level understanding of the world it inhabits by storing and exploiting appropriate memories of its experiences. In this way, experiences provide a detailed account of how the robot has achieved past goals or how it has failed, and what sensory events have accompanied the activities. RACE will demonstrate how a robot can evolve its understanding of the world as a result of novel experiences; and show how such understanding allows a robot to better cope with new situations and perform at a level of robustness and effectiveness not previously achievable, without the need of manually adapting its internal knowledge.

Objective

The overall aim of this project is to develop an artificial cognitive system, embodied by a service robot, able to build a high-level understanding of the world it inhabits by storing and exploiting appropriate memories of its experiences. Experiences will be recorded internally at multiple levels: high-level descriptions in terms of goals, tasks and behaviours, connected to constituting subtasks, and finally to sensory and actuator skills at the lowest level. In this way, experiences provide a detailed account of how the robot has achieved past goals or how it has failed, and what sensory events have accompanied the activities.<br/>Robot competence is obtained by abstracting and generalising from experiences, extending task planning and execution beyond preconceived situations. Activities successfully carried out by the robot for specific objects at specific locations may be generalised to activity concepts applicable to a larger variety of objects at variable locations. Conceptualisations may also result in commonsense insights, e.g. about object behaviour on tilted surfaces.<br/>The project aims to produce the following key results:(i) \tRobots capable of storing experiences in their memory in terms of multi-level representations connecting actuator and sensory experiences with meaningful high-level structures,(ii)\tMethods for learning and generalising from experiences obtained from behaviour in realistically scaled real-world environments,(iii)\tRobots demonstrating superior robustness and effectiveness in new situations and unknown environments using experience-based planning and behaviour adaptation.<br/>To achieve these ambitious goals, a consortium has been formed of research groups with long-standing expertise in high-level cognitive models, planning, learning, spatio-temporal knowledge representation, and robot sensing, navigation, and grasping. The consortium will establish a common conceptual framework for representing robot experiences, planning and learning. Results will be integrated and evaluated in an operational mobile platform with grasping facilities. We will demonstrate how a robot can evolve its understanding of the world as a result of novel experiences; and show how such understanding allows a robot to better cope with new situations and perform at a level of robustness and effectiveness not previously achievable.

Related information

Open Access

Coordinator

UNIVERSITAET HAMBURG
Germany

EU contribution: EUR 870 304


Vogt-Koelln-Str. 30, Haus A
22527 Hamburg
Germany
Administrative contact: Tim Scharfenberg
Tel.: +49 40 42883 2203
Fax: +49 40 42883 2206
E-mail

Participants

UNIVERSITAET OSNABRUECK
Germany

EU contribution: EUR 454 040


NEUER GRABEN/SCHLOSS
49069 OSNABRUECK
Germany
Administrative contact: Renate Sokolowski
Tel.: +495419694068
Fax: +495419694013
E-mail
HAMBURGER INFORMATIK TECHNOLOGIE-CENTER HITEC EV
Germany

EU contribution: EUR 266 280


VOGT KOLLN STRASSE
22527 HAMBURG
Germany
Administrative contact: Lothar Hotz
Tel.: +4940428832605
Fax: +4940428832572
E-mail
UNIVERSIDADE DE AVEIRO
Portugal

EU contribution: EUR 419 600


CAMPO UNIVERSITARIO DE SANTIAGO
3810-193 AVEIRO
Portugal
Administrative contact: Fernando Ferreira Batista
Tel.: +351 234 370200
E-mail
OREBRO UNIVERSITY
Sweden

EU contribution: EUR 468 200


FAKULTETSGATAN
70182 OEREBRO
Sweden
Administrative contact: Silvia Coradeschi
Tel.: +46 19 303298
Fax: +46 19 303463
E-mail
UNIVERSITY OF LEEDS
United Kingdom

EU contribution: EUR 518 874


Woodhouse Lane
LS2 9JT LEEDS
United Kingdom
Administrative contact: Martin Hamilton
Tel.: +44 113 343 4090
Fax: +44 113 343 4058
E-mail
Record Number: 100749 / Last updated on: 2016-04-02