{"id":85792,"date":"2024-03-26T09:23:23","date_gmt":"2024-03-26T08:23:23","guid":{"rendered":"https:\/\/xitaso.com\/proyectos\/adeles-remedying-anomalies-via-neuro-symbolic-learning\/"},"modified":"2025-08-12T13:49:37","modified_gmt":"2025-08-12T11:49:37","slug":"adeles","status":"publish","type":"page","link":"https:\/\/xitaso.com\/es\/proyectos\/adeles\/","title":{"rendered":"ADELeS: Aprendizaje autom\u00e1tico basado en el conocimiento para la correcci\u00f3n de anomal\u00edas"},"content":{"rendered":"

[vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb el_class=\u00bbheader_level2_container\u00bb][vc_column][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbfull_width\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb css=\u00bb.vc_custom_1711526768278{background-image: url(https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-ADELeS-1.jpg?id=42599) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}\u00bb el_class=\u00bbnot-on-mobile\u00bb][vc_column_inner][vc_empty_space height=\u00bb500″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbfull_width\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner offset=\u00bbvc_hidden-lg vc_hidden-md vc_hidden-sm\u00bb][vc_single_image image=\u00bb38833″ img_size=\u00bbfull\u00bb css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner][vc_raw_html css=\u00bb\u00bb]JTNDZGl2JTIwY2xhc3MlM0QlMjJoZWFkZXJfbGV2ZWwyJTIyJTNFJTBBJTNDZGl2JTIwY2xhc3MlM0QlMjJ0b3BwZXIlMjIlM0VJQSUyMHklMjBvcHRpbWl6YWNpJUMzJUIzbiUzQyUyRmRpdiUzRSUwQSUzQ2gxJTNFQXByZW5kaXphamUlMjBhdXRvbSVDMyVBMXRpY28lMjBiYXNhZG8lMjBlbiUyMGVsJTIwY29ub2NpbWllbnRvJTIwcGFyYSUyMGxhJTIwY29ycmVjY2klQzMlQjNuJTIwZGUlMjBhbm9tYWwlQzMlQURhcyUzQyUyRmgxJTNFJTBBJTNDJTJGZGl2JTNFJTBBJTBB[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb css=\u00bb.vc_custom_1720431607420{background-color: #e8e0e0 !important;}\u00bb z_index=\u00bb\u00bb][vc_column][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner width=\u00bb1\/2″][vc_empty_space height=\u00bb60″][vc_column_text css=\u00bb\u00bb]<\/p>\n

El reto<\/h2>\n

Muchos productos cotidianos se fabrican con equipos de producci\u00f3n complejos que requieren personal especializado con experiencia para manejarlos. La escasez de mano de obra cualificada y el cambio demogr\u00e1fico hacen que cada vez sea m\u00e1s dif\u00edcil mantener una producci\u00f3n estable y eficaz en Alemania. Para poder producir de forma competitiva a pesar de ello, los equipos de producci\u00f3n tambi\u00e9n deben poder ser manejados por empleados sin experiencia. Una soluci\u00f3n podr\u00eda ser ampliar las m\u00e1quinas y los equipos de producci\u00f3n con sistemas de asistencia inteligentes para acortar el periodo de formaci\u00f3n y aumentar la satisfacci\u00f3n de los trabajadores y la productividad general.[\/vc_column_text][vc_empty_space height=\u00bb30″][vc_empty_space height=\u00bb30px\u00bb el_class=\u00bbnot-on-mobile\u00bb][\/vc_column_inner][vc_column_inner width=\u00bb1\/2″][vc_empty_space height=\u00bb30″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb30″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Nuestra aportaci\u00f3n<\/h2>\n

En ADELeS (acr\u00f3nimo alem\u00e1n de \u00abcorrecci\u00f3n de anomal\u00edas mediante la extracci\u00f3n de conocimientos expertos y sistemas de aprendizaje\u00bb) estamos desarrollando un sistema de asistencia basado en IA para detectar y corregir variaciones de calidad y errores durante la producci\u00f3n. El proceso de control de calidad combina los sistemas de aprendizaje con los conocimientos expertos a trav\u00e9s del aprendizaje neurosimb\u00f3lico. El conocimiento experto se extrae a partir de la experiencia y los datos.[\/vc_column_text][vc_empty_space height=\u00bb30″][vc_empty_space height=\u00bb30″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner][vc_column_text css=\u00bb\u00bb]<\/p>\n

Tecnolog\u00edas<\/h2>\n

[\/vc_column_text][vc_empty_space height=\u00bb15″][vc_raw_html]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[\/vc_raw_html][vc_empty_space height=\u00bb60″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb30″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb50″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb el_class=\u00bbtwo-column-with-heading-on-top\u00bb z_index=\u00bb\u00bb][vc_column][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner][vc_column_text css=\u00bb\u00bb]<\/p>\n

Detalles del proyecto de investigaci\u00f3n<\/h2>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner width=\u00bb1\/2″][vc_column_text css=\u00bb\u00bb]Correcci\u00f3n de anomal\u00edas mediante extracci\u00f3n de conocimientos expertos y sistemas de aprendizaje<\/strong><\/p>\n

En el proyecto de investigaci\u00f3n ADELeS, la Universidad de Augsburgo, la Universidad de Erlangen-N\u00faremberg y las empresas REHAU Industries SE & Co. KG y XITASO GmbH han unido sus fuerzas para abordar estos retos en el contexto de la fabricaci\u00f3n de cantos que se utilizan, por ejemplo, en la fabricaci\u00f3n de muebles.<\/p>\n

REHAU emplea l\u00edneas de extrusi\u00f3n de 40-60\u00a0metros de longitud para la producci\u00f3n de cantos, que constan de un gran n\u00famero de m\u00e1quinas individuales para distintas fases del proceso (p.\u00a0ej., extrusora, refrigeraci\u00f3n, mecanismos de impresi\u00f3n, etc.).<\/p>\n

Con el fin de, por un lado, predecir la calidad esperada del producto (predictive quality<\/em>) y, por otro lado, sugerir ajustes de par\u00e1metros a los operarios de la l\u00ednea de extrusi\u00f3n para corregir anomal\u00edas de calidad, el enfoque de la investigaci\u00f3n prev\u00e9 la combinaci\u00f3n de conocimientos expertos con m\u00e9todos de aprendizaje autom\u00e1tico basados en datos de series temporales de la l\u00ednea de extrusi\u00f3n.<\/p>\n

Las sugerencias o el sistema de asistencia se activan mediante la detecci\u00f3n autom\u00e1tica de anomal\u00edas de calidad.[\/vc_column_text][vc_empty_space height=\u00bb30″ el_class=\u00bbonly-on-mobile\u00bb][\/vc_column_inner][vc_column_inner width=\u00bb1\/2″][vc_single_image image=\u00bb45812″ img_size=\u00bbfull\u00bb css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb50″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb el_class=\u00bbtwo-column-with-heading-on-top\u00bb z_index=\u00bb\u00bb][vc_column][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner width=\u00bb1\/2″][vc_column_text css=\u00bb\u00bb]Los conocimientos expertos se registran, formalizan y cuantifican mediante la extracci\u00f3n de conocimientos basados en la experiencia y los datos. El resultado se utiliza tanto en sistemas de clasificaci\u00f3n de aprendizaje explicables como en enfoques neurosimb\u00f3licos[\/vc_column_text][vc_empty_space height=\u00bb20px\u00bb el_class=\u00bbnot-on-mobile\u00bb][vc_single_image image=\u00bb42257″ img_size=\u00bb200×200″ alignment=\u00bbcenter\u00bb qode_css_animation=\u00bb\u00bb][vc_empty_space height=\u00bb30px\u00bb el_class=\u00bbnot-on-mobile\u00bb][\/vc_column_inner][vc_column_inner width=\u00bb1\/2″][vc_column_text css=\u00bb\u00bb]Los conocimientos expertos se registran, formalizan y cuantifican mediante la extracci\u00f3n de conocimientos basados en la experiencia y los datos. El resultado se utiliza tanto en sistemas de clasificaci\u00f3n de aprendizaje explicables como en enfoques neurosimb\u00f3licos[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb30″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb50″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb30″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb50″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Publicaciones del proyecto de investigaci\u00f3n<\/h2>\n

[\/vc_column_text][vc_empty_space height=\u00bb15px\u00bb][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbfull_width\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner width=\u00bb1\/6″][vc_empty_space height=\u00bb50px\u00bb][\/vc_column_inner][vc_column_inner width=\u00bb2\/3″][vc_raw_html css=\u00bb\u00bb]JTVCZG9jX2xpYnJhcnklMjBzb3J0X2J5JTNEJTIyZGF0ZSUyMiUyMGRvY19jYXRlZ29yeSUzRCUyMkFERUxFUyUyMiU1RA==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=\u00bb1\/6″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb el_class=\u00bbrow-image-mobile-full-width\u00bb][vc_column][vc_empty_space height=\u00bb40″][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner][vc_column_text css=\u00bb\u00bb]<\/p>\n

Participantes en el proyecto y financiaci\u00f3n<\/h2>\n

[\/vc_column_text][vc_empty_space height=\u00bb30″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner][vc_column_text css=\u00bb\u00bb]<\/p>\n

Colaboradores del proyecto<\/h3>\n

[\/vc_column_text][vc_empty_space height=\u00bb15″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner width=\u00bb1\/3″][vc_empty_space height=\u00bb10″ el_class=\u00bbnot-on-mobile\u00bb][vc_single_image image=\u00bb42956″ img_size=\u00bbmedium\u00bb onclick=\u00bbcustom_link\u00bb img_link_target=\u00bb_blank\u00bb css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb link=\u00bbhttps:\/\/www.uni-augsburg.de\/en\/fakultaet\/fai\/informatik\/prof\/oc\/research\/ongoing-research\/\u00bb][vc_empty_space height=\u00bb30″][\/vc_column_inner][vc_column_inner width=\u00bb1\/3″][vc_empty_space height=\u00bb10″ el_class=\u00bbnot-on-mobile\u00bb][vc_single_image image=\u00bb42959″ img_size=\u00bbmedium\u00bb onclick=\u00bbcustom_link\u00bb img_link_target=\u00bb_blank\u00bb css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb link=\u00bbhttps:\/\/wi2.fau.de\/research\/nlp\/adeles\/\u00bb][vc_empty_space height=\u00bb30″][\/vc_column_inner][vc_column_inner width=\u00bb1\/3″][vc_empty_space height=\u00bb10″ el_class=\u00bbnot-on-mobile\u00bb][vc_single_image image=\u00bb42842″ img_size=\u00bbmedium\u00bb onclick=\u00bbcustom_link\u00bb img_link_target=\u00bb_blank\u00bb css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb link=\u00bbhttps:\/\/www.rehau.com\/uk-en\/\u00bb][vc_empty_space height=\u00bb30″][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=\u00bb10″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb40″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb el_class=\u00bbrow-image-mobile-full-width\u00bb][vc_column][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner width=\u00bb1\/3″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Patrocinador del proyecto<\/h3>\n

[\/vc_column_text][vc_empty_space height=\u00bb15″][vc_column_text css=\u00bb\u00bb]Ministerio de Econom\u00eda, Desarrollo Regional y Energ\u00eda de Baviera[\/vc_column_text][vc_empty_space height=\u00bb15″ el_class=\u00bbnot-on-mobile\u00bb][vc_single_image image=\u00bb47172″ img_size=\u00bbfull\u00bb css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb][vc_empty_space height=\u00bb15″ el_class=\u00bbonly-on-mobile\u00bb][\/vc_column_inner][vc_column_inner width=\u00bb1\/3″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Programa de apoyo<\/h3>\n

[\/vc_column_text][vc_empty_space height=\u00bb15″][vc_column_text css=\u00bb\u00bb]Programa conjunto de financiaci\u00f3n de Baviera (BayVFP)
\n(l\u00ednea de ayudas para la digitalizaci\u00f3n)
\n\u00c1rea de financiaci\u00f3n de las tecnolog\u00edas de la informaci\u00f3n y la comunicaci\u00f3n[\/vc_column_text][vc_empty_space height=\u00bb15″ el_class=\u00bbonly-on-mobile\u00bb][\/vc_column_inner][vc_column_inner width=\u00bb1\/3″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Organizador del proyecto<\/h3>\n

[\/vc_column_text][vc_empty_space height=\u00bb15″][vc_column_text]VDI\/VDE Innovation + Technik GmbH
\nKI-Produktionsnetzwerk Augsburg[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=\u00bb60″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb40″ el_class=\u00bbnot-on-mobile\u00bb][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb css=\u00bb.vc_custom_1720432140000{background-color: #e8e0e0 !important;}\u00bb][vc_column][vc_empty_space height=\u00bb40″][vc_column_text css=\u00bb\u00bb]<\/p>\n

\u00bfInteresado en colaborar en nuestros proyectos de investigaci\u00f3n?<\/h2>\n

[\/vc_column_text][vc_empty_space height=\u00bb15″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb css=\u00bb.vc_custom_1720432148181{background-color: #e8e0e0 !important;}\u00bb][vc_column width=\u00bb1\/6″][\/vc_column][vc_column width=\u00bb2\/3″][vc_column_text css=\u00bb\u00bb]Exploramos el potencial de las tecnolog\u00edas del ma\u00f1ana con proyectos de investigaci\u00f3n e innovaci\u00f3n. Siempre estamos buscando colegas comprometidos que quieran unirse a nosotros en el viaje de XITASO y ayudar a darle forma.[\/vc_column_text][vc_empty_space height=\u00bb15″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Mostrar todas las ofertas<\/a><\/p>\n

[\/vc_column_text][vc_empty_space height=\u00bb40″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb30″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb30″ el_class=\u00bbnot-on-mobile\u00bb][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb50″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Otros proyectos<\/h2>\n

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Proyecto de investigaci\u00f3n KISPP<\/div>\n

Planificaci\u00f3n inteligente del personal de enfermer\u00eda<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=\u00bb1\/3″][vc_raw_html css=\u00bb\u00bb]JTNDYSUyMGhyZWYlM0QlMjIlMkZlcyUyRnByb3llY3RvcyUyRnZhbGlzZW5zJTJGJTIyJTNF[\/vc_raw_html][vc_empty_space height=\u00bb250″ image_repeat=\u00bbno-repeat\u00bb background_image=\u00bb40759″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Proyecto de investigaci\u00f3n VALISENS<\/div>\n

Fusi\u00f3n de datos de sensores para la conducci\u00f3n aut\u00f3noma<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=\u00bb1\/3″][vc_raw_html css=\u00bb\u00bb]JTNDYSUyMGhyZWYlM0QlMjIlMkZlcyUyRnByb3llY3RvcyUyRmFzaXN0ZW50ZS1kZS1jYWxjdWxvLWFzaXN0aWRvLXBvci1pYSUyRiUyMiUzRQ==[\/vc_raw_html][vc_empty_space height=\u00bb250″ image_repeat=\u00bbno-repeat\u00bb background_image=\u00bb17675″][vc_column_text css=\u00bb\u00bb]<\/p>\n

BRZ<\/div>\n

Asistente de c\u00e1lculo asistido por IA<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb30″][vc_column_text css=\u00bb\u00bb]<\/p>\n

Mostrar todos los proyectos<\/a><\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbgrid\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb][vc_column][vc_empty_space height=\u00bb50″ el_class=\u00bbnot-on-mobile\u00bb][vc_empty_space height=\u00bb50″][\/vc_column][\/vc_row][vc_row css_animation=\u00bb\u00bb row_type=\u00bbrow\u00bb use_row_as_full_screen_section=\u00bbno\u00bb type=\u00bbfull_width\u00bb angled_section=\u00bbno\u00bb text_align=\u00bbleft\u00bb background_image_as_pattern=\u00bbwithout_pattern\u00bb z_index=\u00bb\u00bb el_class=\u00bbyour-contact-person\u00bb css=\u00bb.vc_custom_1720431431942{background-color: #e8e0e0 !important;}\u00bb][vc_column][vc_column_text css=\u00bb\u00bb]<\/p>\n

\u00bfEst\u00e1 interesado en un proyecto, un servicio o tiene alguna otra pregunta?<\/h2>\n

[\/vc_column_text][vc_row_inner row_type=\u00bbrow\u00bb type=\u00bbgrid\u00bb text_align=\u00bbleft\u00bb css_animation=\u00bb\u00bb][vc_column_inner][vc_single_image image=\u00bb89726″ img_size=\u00bb120×120″ alignment=\u00bbcenter\u00bb style=\u00bbvc_box_circle_2″ css=\u00bb\u00bb qode_css_animation=\u00bb\u00bb][vc_column_text css=\u00bb\u00bb]<\/p>\n

Dr. Richard Nordsieck<\/b><\/p>\n

Tel. +49 821 885 882 89
\nrichard.nordsieck@xitaso.com<\/a><\/p>\n

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