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AU: Review meeting 2012

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Agenda of the Review meeting at Aberystwyth University: 2nd-4th July 2012

When lug 02, 2012 09:00 to
lug 04, 2012 01:00
Where Aberystwyth
Contact Name
Contact Phone +44 (0) 1970 628680
Attendees AU:
James Law
Mark Lee
Patricia Shaw
Michael Sheldon
Elio Tuci
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CNR-ISTC-LOCEN:
Gianluca Baldassarre
Vieri Santucci
Valerio Sperati
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CNR-ISTC-UCP:
Eugenia Polizzi di Sorrentino
Aurora De Bortoli Vizioli
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FIAS:
Luca Lonini
Pramod Chandrashekhariah
Quan Wang
Constantin Rothkopf
Jochen Triesch
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IDSIA:
Jürgen Schmidhuber
Varun Kompella
Mikhail Frank
Jürgen Leitner
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UCBM:
Flavio Keller
Fabrizio Taffoni
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USFD:
Peter Redgrave
Kevin Gurney
Ashvin Shah
Tom Stafford
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UU:
Martin Mc Ginnity
Ioannis Gatsoulis
Emmett Kerr
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Travel Kit

Useful information on attending the meeting can be found here

Panel of Evaluators

Agenda

Venue: National Library of Wales, Council Chamber

Rehearsal: only Project Partners
Monday 2nd July 2012

09:00-09:10   (10') Welcome and local arrangements (AU)

09:10-10:00   (50') WP3, USFD leads, Empirical Experiments
   (15') USFD: Joystick experiment
   (15') UCBM: Children experiments
   (15') CNR-ISTC-UCP: monkey experiments

10:00-11:00  (60') CLEVER-K3  (IDSIA leads, IDSIA/UU/FIAS)

11:00-11:30  (30') Coffee break & posters

11:30-13:00  (90') WP4, FIAS leads, Abstraction
   (15') FIAS 
   (15') UU
   (15') IDSIA
   (15') USFD

13:00-14:00   (60') Lunch & posters

14:00-15:40   (100') WP5, UU leads, Intrinsic motivations
   (15') UU 
   (15') FIAS
   (15') IDSIA
   (15') USFD
   (15') CNR-ISTC-LOCEN

15:40-16:10   (30') Coffee break & posters

16:10-16:45  (35') WP6, AU leads, Hierarch. Actions
    (15') USFD
    (15') CNR-ISTC-LOCEN

16:45-17:15   (30') CLEVER-B3 (CNR/USFD)
17:15-18:00   (45') CLEVER-B3 Demonstrations & Presentations (AU)

18.00 Meeting finishes

 

Review Meeting Day 1: All
Tuesday 3rd July 2012

09:00-09:10   (10') Welcome and local arrangements (AU)
09:10-09:30   (20') Coordinator (CNR-ISTC): Agenda, overview

09:30-10:50   (80') WP3, USFD leads, Empirical Experiments
   (15') USFD: Joystick experiment
   (15') UCBM: Children experiments
   (15') CNR-ISTC-UCP: monkey experiments

10:50-11:20  (30') Coffee break & posters

11:20-12:50  (95') WP4, FIAS leads, Abstraction
   (15') FIAS 
   (15') UU
   (10') IDSIA
   (15') USFD

12:55-13:55   Lunch & posters

13:55-16:15   (140') WP5, UU leads, Intrinsic motivations
   (15') UU 
   (20') IDSIA
   (10') USFD
   (15') CNR-ISTC-LOCEN
   (15') FIAS

16:05-16:35   (30') Coffee break & posters

16:35-17:20   (45') WP6, AU leads, Hierarch. Actions
    (15') USFD
    (15') CNR-ISTC-LOCEN

17:20-18:00   (40') CLEVER-B3 (CNR/USFD)
18:00-18:10   (10') Walk to AU robotics lab
18:10-19:30   (50') CLEVER-B3 Demonstrations (AU)

19:30  Bus from lab to Social Dinner (Nanteos Mansion)

23:00  Bus returns to Aberystwyth hotels 

Review Meeting Day 2: All
Wednesday 4th July 2012  

 

09:00-10:30   (90') CLEVER-K3 (IDSIA leads, IDSIA/UU/FIAS)

10:30-11:00   (30') WP1-2: Mng, Finance, Dissem., Train. (CNR-ISTC)

11:00-12:00 Meetings
    - Evaluators' meeting
    - Scientific and Management Committee Meeting
    - ...Coffee will be available

12:00-12:30   Evaluators’ Feedback

12:30-13:30   Lunch & posters

13:00  Departure of people for 13:30 train
14:00-17:00  Excursion on the Vale of Rheidol Railway

 

Programmed Posters

CNR-ISTC-LOCEN

1 CNR-FIAS: DEMO: bottom-up and RL-top-down attention model of gaze-contingent exps.

2 CNR: Predictors for knowledge- and competence-based intrinsic motivations

USFD

3 USFD: Flexible sequential action selection in a computational model of multiple basal ganglia -thalamo cortical loops

4 USFD: A biologically based model of active vision

AU

5 AU: Development of eye-head gaze control on the iCub robot

6 AU: PSchema: a developmental schema learning framework for embodied agents

UU

7 UU A Position Based Visual Tracking System for a 7 DOF Robot Manipulator Using a Kinect Camera

8 UU Biologically Inspired Edge Detection Using Spiking Neural Networks and Hexagonal Images

FIAS

9 FIAS Unifying Procedural Memory Consolidation and Structure Learning in Motor Control