Using the Body in Learning to Recognize Objects

Mark Edgington, José de Gea Fernández, Jan Hendrik Metzen, Yohannes Kassahun, Frank Kirchner

In: W. Burgard , R. Dillmann , Plagemann; C. , N. Vahrenkamp (Hrsg.). Proceedings of the 10th Conference on Intelligent Autonomous Systems. International Conference on Intelligent Autonomous Systems (IAS-10) 10th July 23-25 Baden-Baden Germany Seiten 110-118 IOS Press 2008.


Object recognition has traditionally been approached using primarily vision-based strategies. Recent research suggests, however, that intelligent agents use more than vision in order to comprehend and classify their environment. In this work we investigate an agent’s ability to recognize objects on the basis of nonvisual proprioceptive information generated by its body. An experiment is presented in which an industrial robot collects and structures information about various objects in terms of its physical configuration. This information is then analyzed using a Bayesian model, which is used subsequently for classifying objects.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence