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.

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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.

Item Type:	Article
Additional Information:	Link to published article - Springer Nature SharedIt content-sharing initiative: https://rdcu.be/bYKKP
Identification Number:	https://doi.org/10.1038/s42256-019-0123-3
Page Range:	594-605
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	02 Dec 2019 13:58
Last Modified:	18 Mar 2021 01:07
URI:	https://shura.shu.ac.uk/id/eprint/25502

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