Navigation path

Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Botswana
  Brazil
  Bulgaria
  Burkina Faso
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Finland
  France
  Gambia
  Georgia
  Germany
  Ghana
  Greece

Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Botswana
  Brazil
  Bulgaria
  Burkina Faso
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Finland
  France
  Gambia
  Georgia
  Germany
  Ghana
  Greece


This page was published on 06/06/2011
Published: 06/06/2011

   Infocentre

Published: 6 June 2011  
Related theme(s) and subtheme(s)
Industrial researchIndustrial processes & robotics
Information societyInformation technology
Innovation
Research policySeventh Framework Programme
Add to PDF "basket"

EYESHOTS project delivers tactile solution

EU–funded researchers have made giant strides in their quest to control the interaction between movement and vision, replicating human behaviour in robots. How? They have developed a sophisticated three–dimensional visual system synchronised with robotic arms. The outcome is part of the EYESHOTS ('Heterogeneous 3D perception across visual fragments') project, which received EUR 2.4 million under the 'Information and communication technologies' (ICT) Theme of the EU's Seventh Framework Programme (FP7).

Humanoid robot eyes © Uni of Genoa/EYESHOTS
Humanoid robot eyes
©  Uni of Genoa/EYESHOTS

This latest development could enable robots to see and be aware of their surroundings. It could also give these machines the edge in remembering the contents of those images so that they could act accordingly, the researchers say.

Led by the Department of Biophysical and Electronic Engineering at the University of Genoa in Italy, the EYESHOTS partners say they had to refine the basic mechanisms of a humanoid robot to ensure the successful interaction of its environment with the autonomous tasks it must fulfil. For Ángel Pasqual del Pobil, head of the Spain–based Robotic Intelligence Laboratory of the Universitat Jaume I de Castellón, which is an EYESHOTS partner, his team validated the consortium's findings with a system developed at the university. This system comprises a torso with articulated arms and a robot head with moving eyes.

The partners kicked off the development process by examining human and animal biology. Experts in robotics, neuroscience, engineering and psychology, the team members built the computer models by recording monkey's neurons engaged in visual–motor coordination. Humans and primates, say the partners, share the way in how the world is perceived.

The first artificially replicated feature of the human visual system was our saccadic eye movement which is related to the dynamic change of attention, they say. 'We constantly change the point of view through very fast eye movements, so fast that we are hardly aware of it,' Dr Pobil says. 'When the eyes are moving, the image is blurred and we can't see clearly. Therefore, the brain must integrate the fragments as if it were a puzzle to give the impression of a continuous and perfect image of our surroundings.'

Using the neural data, the team built computer models of the section of the brain that combines images with movements of both eyes and arms. According to them, this model is unique; the integration of images with movements confirms that when humans move to grasp an object, it is not necessary for our brain to calculate the coordinates.

'The truth is that the sequence is much more straightforward: our eyes look at a point and tell our arm where to go,' Dr Pobil explains. 'Babies learn this progressively by connecting neurons.'

In a nutshell, the EYESHOTS partners have succeeded in simulating these learning mechanisms through a neural network, enabling robots to perform various tasks including constructing a representation of the environment, preserving the appropriate images and learning how to look. These robots also use their memory to reach for objects despite not being able to actually see them.

'Our findings can be applied to any future humanoid robot capable of moving its eyes and focusing on one point,' the Spanish researcher says. 'These are priority issues for the other mechanisms to work correctly.'

The other partners of EYESHOTS are the University of Münster in Germany, the University of Bologna in Italy and Katholieke Universiteit Leuven in Belgium.


Convert article(s) to PDF

No article selected


loading


Search articles

Notes:
To restrict search results to articles in the Information Centre, i.e. this site, use this search box rather than the one at the top of the page.

After searching, you can expand the results to include the whole Research and Innovation web site, or another section of it, or all Europa, afterwards without searching again.

Please note that new content may take a few days to be indexed by the search engine and therefore to appear in the results.

Print Version
Share this article
See also

EYESHOTS
University of Genoa
'EU scientists prove robots can learn to 'think''





  Top   Research Information Center
 
Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Botswana
  Brazil
  Bulgaria
  Burkina Faso
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Finland
  France
  Gambia
  Georgia
  Germany
  Ghana
  Greece

Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Botswana
  Brazil
  Bulgaria
  Burkina Faso
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Finland
  France
  Gambia
  Georgia
  Germany
  Ghana
  Greece