| Title | A Perceptual Memory System for Affordance Learning in Humanoid Robots |
| Publication Type | Conference Paper |
| Year of Publication | 2011 |
| Authors | Kammer, M., M. Tscherepanow, T. Schack, and Y. Nagai |
| Conference Name | International Conference on Artificial Neural Networks |
| Conference Start Date | 14/06/2011 |
| Publisher | Springer |
| Conference Location | Espoo, Finland |
| Editor | Honkela, T., W. Duch, M. Girolami, and S. Kaski |
| Keywords | affordances, artificial memory, cognitive robotics, life-long learning |
| Abstract | Memory constitutes an essential cognitive capability of humans and animals. It allows them to act in very complex, non-stationary environments. In this paper, we propose a perceptual memory system, which is intended to be applied on a humanoid robot learning affordances. According to the properties of biological memory systems, it has been designed in such a way as to enable life-long learning without catastrophic forgetting. Based on clustering sensory information, a symbolic
representation is derived automatically. In contrast to alternative
approaches, our memory system does not rely on pre-trained models and
works completely unsupervised. |
| URL | http://www.springerlink.com/content/x33660n3w3310882/ |
| DOI | 10.1007/978-3-642-21738-8_45 |
