Literature DB >> 14599314

Grounding vision through experimental manipulation.

Paul Fitzpatrick1, Giorgio Metta.   

Abstract

Experimentation is crucial to human progress at all scales, from society as a whole to a young infant in its cradle. It allows us to elicit learning episodes suited to our own needs and limitations. This paper develops active strategies for a robot to acquire visual experience through simple experimental manipulation. The experiments are oriented towards determining what parts of the environment are physically coherent--that is, which parts will move together, and which are more or less independent. We argue that following causal chains of events out from the robot's body into the environment allows for a very natural developmental progression of visual competence, and relate this idea to results in neuroscience.

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Year:  2003        PMID: 14599314     DOI: 10.1098/rsta.2003.1251

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  4 in total

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Authors:  Linda B Smith; Chen Yu; Alfredo F Pereira
Journal:  Dev Sci       Date:  2011-01

2.  A computational model of perception and action for cognitive robotics.

Authors:  Pascal Haazebroek; Saskia van Dantzig; Bernhard Hommel
Journal:  Cogn Process       Date:  2011-05-20

3.  Design Principles for Neurorobotics.

Authors:  Jeffrey L Krichmar; Tiffany J Hwu
Journal:  Front Neurorobot       Date:  2022-05-25       Impact factor: 3.493

4.  Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States.

Authors:  Carlos Maestre; Ghanim Mukhtar; Christophe Gonzales; Stephane Doncieux
Journal:  Front Neurorobot       Date:  2019-07-24       Impact factor: 2.650

  4 in total

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