Optimization of a robotics gaze control system

Autor:	Jaime Duque Domingo, Jaime Gómez García-Bermejo, Eduardo Zalama Casanova
Rok vydání:	2020
Předmět:	Optimization problem Visión artificial Artificial neural network Computer science business.industry Robots humanoides Robotics Gaze Naturalness Competitive networks Control system Redes competitivas Robot Humanoid robots Computer vision Artificial intelligence business Humanoid robot
Zdroj:	UVaDOC. Repositorio Documental de la Universidad de Valladolid instname Advances in Intelligent Systems and Computing ISBN: 9783030625788 WAF
Popis:	Producción Científica Gaze control is an important issue in the interaction between a robot and humans. In particular, the decision of who to pay attention to in a multi-party conversation is a way of improving a robot’s naturalness in human-robot interaction. A system based on a competitive neural network can decide who to look at with a smooth transition in the focus of attention when significant changes in stimuli are produced. One important aspect in this process is the configuration of the different parameters of such a neural network. The weights of the different stimuli have to be computed in order to achieve behavior similar to humans. This article explains how these weights can be obtained by solving an optimization problem. The experiments carried out and some results are also presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef70cd9b0fd9ed2c12cfd931f209f6c3 https://uvadoc.uva.es/handle/10324/48641 Zobrazit plný text záznamu