|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 12 van 21 gevonden artikelen
| Titel: |
IMITATION LEARNING AND ANCHORING THROUGH CONCEPTUAL SPACES |
| Auteur: |
Chella, Antonio Dindo, Haris Infantino, Ignazio |
| Verschenen in: |
Applied artificial intelligence |
| Paginering: | Jaargang 21 (2007) nr. 4-5 pagina's 343-359 |
| Jaar: |
2007-04 |
| Inhoud: |
In order to have a robotic system able to effectively learn by imitation and not merely reproduce the movements of a human teacher, the system should have the capability to deeply understand the perceived actions to be imitated. This paper deals with the development of a cognitive architecture for learning by imitation in which a rich conceptual representation of the observed actions is built. The purpose of the following discussion is to show how the same conceptual representation can be used both in a bottom-up approach, in order to learn sequences of actions by imitation learning paradigm, and in a top-down approach, in order to anchor the symbolical representations to the perceptual activities of the robotic system. Experiments concerned with the problem of teaching a humanoid robotic system simple manipulative tasks are reported. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 12 van 21 gevonden artikelen
| << vorige | volgende >> |