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pro vyhledávání: '"Gago, Jennifer J."'
Autor:
Fernandez-Fernandez, Raul, Victores, Juan G., Gago, Jennifer J., Estevez, David, Balaguer, Carlos
Publikováno v:
Cognitive Systems Research, Volume 72, March 2022, Pages 23 to 32
Style Transfer has been proposed in a number of fields: fine arts, natural language processing, and fixed trajectories. We scale this concept up to control policies within a Deep Reinforcement Learning infrastructure. Each network is trained to maxim
Externí odkaz:
http://arxiv.org/abs/2402.00677
Autor:
Gago, Jennifer J., Vasco, Valentina, Łukawski, Bartek, Pattacini, Ugo, Tikhanoff, Vadim, Victores, Juan G., Balaguer, Carlos
This paper presents a study on natural language to sign language translation with human-robot interaction application purposes. By means of the presented methodology, the humanoid robot TEO is expected to represent Spanish sign language automatically
Externí odkaz:
http://arxiv.org/abs/1907.04198
Publikováno v:
Electronics, 8(1), 57 (2019)
In this paper, we illustrate our work on improving the accessibility of Cyber-Physical Systems (CPS), presenting a study on human-robot interaction where the end-users are either deaf or hearing-impaired people. Current trends in robotic designs incl
Externí odkaz:
http://arxiv.org/abs/1901.05939
Autor:
Fernandez-Fernandez, Raul, Victores, Juan G., Gago, Jennifer J., Estevez, David, Balaguer, Carlos
Publikováno v:
In Cognitive Systems Research March 2022 72:23-32
This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2