GUEST EDITORS: Diego R. Faria, School of Engineering and Applied Science, Aston University, UK Cristiano Premebida, Institute of Systems and Robotics, University of Coimbra, Portugal Adriana Tapus, ENSTA-ParisTech, France Jorge Dias, University of Coimbra (PT) / Khalifa University (UAE)
DESCRIPTION
This Special Issue was launched based on the Workshop on ARtificial Perception, MAchine Learning and DAtasets for Human-Robot Interaction (ARMADA'17) at IEEE RO-MAN 2017 (http://ro-man2017.org/), held in Lisbon, Portugal, August 28 - September 1st, 2017. The Workshop ARMADA 2017 was intended as a forum for a broad audience, which spans from artificial perception systems, machine learning to data sets for human-robot interaction.
CONTENTS
"Real-time gaze estimation via pupil center tracking" by Dario Cazzato, Fabio Dominio, Roberto Manduchi, Silvia M. Castro
DOI: https://doi.org/10.1515/pjbr-2018-0002
"Biologically inspired computational modeling of motion based on middle temporal area" by Fernanda da C. e C. Faria, Jorge Batista, Helder Araújo
DOI: https://doi.org/10.1515/pjbr-2018-0005
"Learning Robot Speech Models to Predict Speech Acts in HRI" by Ankuj Arora, Humbert Fiorino, Damien Pellier, Sylvie Pesty
DOI: https://doi.org/10.1515/pjbr-2018-0015
"Deep reinforcement learning using compositional representations for performing instructions" by Mohammad Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter, Di Fu
DOI: https://doi.org/10.1515/pjbr-2018-0026
"Is it useful for a robot to visit a museum?" by Aliaa Moualla, Sofiane Boucenna, Ali Karaouzene, Denis Vidal, Philippe Gaussier
DOI: https://doi.org/10.1515/pjbr-2018-0025
