Expectation-driven autonomous learning and interaction system

Autor: Bolder, Bram, Brandl, Holger, Heracles, Martin, Janssen, Herbert, Mikhailova, Inna, Schmüdderich, Jens, Goerick, Christian, ARRAY(0xaa48e80)
Rok vydání: 2008
Předmět:
Zdroj: Humanoids
DOI: 10.1109/ichr.2008.4756030
Popis: We introduce our latest autonomous learning and interaction system instance ALIS 2. It comprises different sensing modalities for visual (depth blobs, planar surfaces, motion) and auditory (speech, localization) signals and self- collision free behavior generation on the robot ASIMO. The system design emphasizes the split into a completely autonomous reactive layer and an expectation generation layer. Different feature channels can be classified and named with arbitrary speech labels in on-line learning sessions. The feasibility of the proposed approach is shown by interaction experiments.
Databáze: OpenAIRE