Parental Signal Indicating Significant State Change in Action Demonstration

Y. Nagai, K. Rohlfing, in: The 7th International Conference on Epigenetic Robotics, 2007.

Download
No fulltext has been uploaded.
Conference Paper | English
Author
Abstract
This paper presents a new insight from a computational analysis of parental actions. Developmental behavioral studies have suggested that parental modifications in their actions directed to infants versus to adults may aid the infants’ processing of the actions. We have been analyzing parental actions using a bottom-up attention model so as to take the advantage in robot action learning. Our latest result indicates that parental social signals can be used for a robot to detect significant state changes in the demonstrated action.
Publishing Year
Proceedings Title
The 7th International Conference on Epigenetic Robotics
LibreCat-ID

Cite this

Nagai Y, Rohlfing K. Parental Signal Indicating Significant State Change in Action Demonstration. In: The 7th International Conference on Epigenetic Robotics. ; 2007.
Nagai, Y., & Rohlfing, K. (2007). Parental Signal Indicating Significant State Change in Action Demonstration. In The 7th International Conference on Epigenetic Robotics.
@inproceedings{Nagai_Rohlfing_2007, title={Parental Signal Indicating Significant State Change in Action Demonstration}, booktitle={The 7th International Conference on Epigenetic Robotics}, author={Nagai, Yukie and Rohlfing, Katharina}, year={2007} }
Nagai, Yukie, and Katharina Rohlfing. “Parental Signal Indicating Significant State Change in Action Demonstration.” In The 7th International Conference on Epigenetic Robotics, 2007.
Y. Nagai and K. Rohlfing, “Parental Signal Indicating Significant State Change in Action Demonstration,” in The 7th International Conference on Epigenetic Robotics, 2007.
Nagai, Yukie, and Katharina Rohlfing. “Parental Signal Indicating Significant State Change in Action Demonstration.” The 7th International Conference on Epigenetic Robotics, 2007.

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar