Developing the Knowledge of Number Digits in a child like Robot

DI NUOVO, Alessandro and MCCLELLAND, James L. (2019). Developing the Knowledge of Number Digits in a child like Robot. Nature Machine Intelligence, 1, 594-605. [Article]

Documents
25502:539830
[thumbnail of Di Nuovo_DevelopingTheKnowledge(AM).pdf]
Preview
PDF
Di Nuovo_DevelopingTheKnowledge(AM).pdf - Accepted Version
Available under License All rights reserved.

Download (1MB) | Preview
25502:539777
[thumbnail of Supplementary information v2.0.pdf]
Preview
PDF
Supplementary information v2.0.pdf - Supplemental Material
Available under License All rights reserved.

Download (897kB) | Preview
Abstract
Number knowledge can be boosted initially by embodied strategies such as the use of fingers. This Article explores the perceptual process of grounding number symbols in artificial agents, particularly the iCub robot—a child-like humanoid with fully functional, five-fingered hands. It studies the application of convolutional neural network models in the context of cognitive developmental robotics, where the training information is likely to be gradually acquired while operating, rather than being abundant and fully available as in many machine learning scenarios. The experimental analyses show increased efficiency of the training and similarities with studies in developmental psychology. Indeed, the proprioceptive information from the robot hands can improve accuracy in the recognition of spoken digits by supporting a quicker creation of a uniform number line. In conclusion, these findings reveal a novel way for the humanization of artificial training strategies, where the embodiment can make the robot’s learning more efficient and understandable for humans.
More Information
Statistics

Downloads

Downloads per month over past year

View more statistics

Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item