Robot Vision for Manipulation: A Trip to Real-World Applications
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http://hdl.handle.net/10045/111729
| Título: | Robot Vision for Manipulation: A Trip to Real-World Applications |
|---|---|
| Autor/es: | Martinez-Martin, Ester | Pobil, Angel P. del |
| Grupo/s de investigación o GITE: | Robótica y Visión Tridimensional (RoViT) |
| Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
| Palabras clave: | Robotics | Computer vision | Applications |
| Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
| Fecha de publicación: | 7-ene-2021 |
| Editor: | IEEE |
| Cita bibliográfica: | IEEE Access. 2021, 9: 3471-3481. https://doi.org/10.1109/ACCESS.2020.3048053 |
| Resumen: | Along the last decades, Robotics research has taken a major turn from laboratories to factories and ordinary real-world environments. Consequently, new issues to be overcome have arisen, specially when autonomous, dexterous robots are in place. In this paper, we present this evolution in the case of robot vision for manipulation through several robot developments, by analysing their challenges and proposed solutions. This overview highlights the need of using different techniques depending on the task at hand and the scenario to work in. |
| Patrocinador/es: | This work was supported in part by the Ministerio de Economía y Competitividad under Grant DPI2015-69041-R, in part by Universitat Jaume I under Grant UJI-B2018-74, and in part by Generalitat Valenciana under Grant PROMETEO/2020/034 and GV/2020/051. |
| URI: | http://hdl.handle.net/10045/111729 |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/ACCESS.2020.3048053 |
| Idioma: | eng |
| Tipo: | info:eu-repo/semantics/article |
| Derechos: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
| Revisión científica: | si |
| Versión del editor: | https://doi.org/10.1109/ACCESS.2020.3048053 |
| Aparece en las colecciones: | INV - RoViT - Artículos de Revistas |
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| Archivo | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
 Martinez-Martin_del-Pobil_2021_IEEEAccess.pdf | 1,95 MB | Adobe PDF | Abrir Vista previa | |
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