Výsledky vyhledávání - "Jose Diaz-Amado"

Akademický článek

Adaptive Multimodal Emotion Detection Architecture for Social Robots

Autor: Juanpablo Heredia, Edmundo Lopes-Silva, Yudith Cardinale, Jose Diaz-Amado, Irvin Dongo, Wilfredo Graterol, Ana Aguilera

Publikováno v: IEEE Access, Vol 10, Pp 20727-20744 (2022)

Emotion recognition is a strategy for social robots used to implement better Human-Robot Interaction and model their social behaviour. Since human emotions can be expressed in different ways (e.g., face, gesture, voice), multimodal approaches are use

Externí odkaz: https://doaj.org/article/7a1a98c4b1a04c2eab82a412b108d741

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Akademický článek

A New Approach for Including Social Conventions into Social Robots Navigation by Using Polygonal Triangulation and Group Asymmetric Gaussian Functions

Autor: Raphaell Maciel de Sousa, Dennis Barrios-Aranibar, Jose Diaz-Amado, Raquel E. Patiño-Escarcina, Roque Mendes Prado Trindade

Publikováno v: Sensors, Vol 22, Iss 12, p 4602 (2022)

Many authors have been working on approaches that can be applied to social robots to allow a more realistic/comfortable relationship between humans and robots in the same space. This paper proposes a new navigation strategy for social environments by

Externí odkaz: https://doaj.org/article/05ecd18a46584631a949035948aa71f7

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Akademický článek

OntoSLAM: An Ontology for Representing Location and Simultaneous Mapping Information for Autonomous Robots

Autor: Maria A. Cornejo-Lupa, Yudith Cardinale, Regina Ticona-Herrera, Dennis Barrios-Aranibar, Manoel Andrade, Jose Diaz-Amado

Publikováno v: Robotics, Vol 10, Iss 4, p 125 (2021)

Autonomous robots are playing an important role to solve the Simultaneous Localization and Mapping (SLAM) problem in different domains. To generate flexible, intelligent, and interoperable solutions for SLAM, it is a must to model the complex knowled

Externí odkaz: https://doaj.org/article/411f060e04084ee29d67be062abfcd31

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Akademický článek

Emotion Detection for Social Robots Based on NLP Transformers and an Emotion Ontology

Autor: Wilfredo Graterol, Jose Diaz-Amado, Yudith Cardinale, Irvin Dongo, Edmundo Lopes-Silva, Cleia Santos-Libarino

Publikováno v: Sensors, Vol 21, Iss 4, p 1322 (2021)

For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such

Externí odkaz: https://doaj.org/article/308f439c61ee46fab9a9a9edf142d0dd

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Dataset to Detect Emotions from a Robot-Centric Perspective

Autor: Marco Quiroz, Raquel Patiño, Jose Diaz-Amado, Yudith Cardinale

Social robotics is an emerging area that foster the integration of robots and humans in the same environment. With this objective, robots include capacities such as the detection of emotions in people to be able to plan their trajectory, modify their

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a469bd66b27cf7d6f6c2bbf1b6f649ee
https://doi.org/10.3233/aise220019

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Multimodal Emotional Understanding in Robotics

Autor: Juanpablo Heredia, Yudith Cardinale, Irvin Dongo, Ana Aguilera, Jose Diaz-Amado

In the context of Human-Robot Interaction (HRI), emotional understanding is becoming more popular because it turns robots more humanized and user-friendly. Giving a robot the ability to recognize emotions has several difficulties due to the limits of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b466d214e1064fbc744ee62e475b763
https://doi.org/10.3233/aise220020

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