RT info:eu-repo/semantics/bookPart
T1 Optimization of a robotics gaze control system
A1 Duque Domingo, Jaime
A1 Gómez García-Bermejo, Jaime
A1 Zalama Casanova, Eduardo
K1 Humanoid robots
K1 Robots humanoides
K1 Competitive networks
K1 Redes competitivas
K1 Computer vision
K1 Visión artificial
AB 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.
PB Springer
SN 978-3-030-62579-5
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/48641
UL https://uvadoc.uva.es/handle/10324/48641
LA eng
NO Bergasa, Luis; Ocaña, Manuel; Barea, Rafael; López Guillén, Elena; Revenga Pedro (eds.). Advances in Physical Agents II. Proceedings of the 21st International Workshop of Physical Agents, vol 1285. Madrid: Springer, 2020, p.  213-226
NO Producción Científica
DS UVaDOC
RD 09-may-2024