Spatio-Temporal Representations and Activities For Cognitive Control in Long-Term Scenarios
(STRANDS)
Start date: Apr 1, 2013,
End date: May 31, 2017
PROJECT
FINISHED
Description
STRANDS aims to enable a robot to achieve robust and intelligent behaviour in human environments through exploitation of long-term experience. The approach is based on understanding 3D space and how it changes over time, from milliseconds to months. The project will develop control mechanisms which yield adaptive behaviour in highly demanding, real-world security and care scenarios. The robots will be able to run for significantly longer than current systems. Long runtimes provide previously unattainable opportunities for a robot to learn about its world. The society will benefit as robots become more capable of assisting humans, a necessary advance due to the demographic shifts in the health industry.
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Coordinator
THE UNIVERSITY OF BIRMINGHAM
€ 1 601 509,00- May Chung
- Edgbaston B15 2TT BIRMINGHAM (United Kingdom)
7 Partners Participants
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
€ 1 399 208,00- Ernst Schmachtenberg
- Templergraben 52062 AACHEN (Germany)
KUNGLIGA TEKNISKA HOEGSKOLAN
€ 1 437 427,00- Friné Portal
- Valhallavaegen 10044 STOCKHOLM (Sweden)
UNIVERSITY OF LEEDS
€ 1 049 541,00- Martin Hamilton
- WOODHOUSE LANE LS2 9JT LEEDS (United Kingdom)
UNIVERSITY OF LINCOLN
€ 873 658,00- Carolyn Williams
- Brayford Pool LN6 7TS LINCOLN (United Kingdom)
G4S TECHNOLOGY LIMITED
€ 17 600,00- David Ella
- CHALLENGE HOUSE - INTERNATIONAL DRIVE GL20 8UQ TEWKESBURY (United Kingdom)
TECHNISCHE UNIVERSITAET WIEN
€ 1 331 642,00- Markus Vincze
- KARLSPLATZ 1040 WIEN (Austria)
- Christoph Gisinger
- SEEBOCKGASSE 1160 WIEN (Austria)