Learning structural affordances through self-exploration
The goal of this paper is to develop a cognitive developmental approach for a humanoid robot so that it can provisionally discover self-affordance relations between certain arm limb movements and corresponding motor units by exploring the outcomes of its random arm movements while in a crawling posi...
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| creator | Erdemir, E. Wilkes, D. M. Kawamura, K. Erdemir, A. |
| description | The goal of this paper is to develop a cognitive developmental approach for a humanoid robot so that it can provisionally discover self-affordance relations between certain arm limb movements and corresponding motor units by exploring the outcomes of its random arm movements while in a crawling position. Learning of the right and the left arm affordances is based on self-exploration and a set of experience similarly to how a human baby discovers action-effect relations of own arm movements. We address the early development of self-affordances, similar to infants, which encodes the relationships between actions, objects, and the effect on the environment. |
| doi_str_mv | 10.1109/ROMAN.2012.6343860 |
| format | Conference Proceeding |
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| ispartof | 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012, p.865-870 |
| issn | 1944-9445 1944-9437 |
| language | eng |
| recordid | cdi_ieee_primary_6343860 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Correlation Humanoid robots Neurons Robot sensing systems Vectors Visualization |
| title | Learning structural affordances through self-exploration |
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