{"id":17964,"date":"2025-02-26T09:19:15","date_gmt":"2025-02-26T08:19:15","guid":{"rendered":"https:\/\/www.car.upm-csic.es\/?page_id=17964"},"modified":"2026-03-19T15:25:25","modified_gmt":"2026-03-19T14:25:25","slug":"proyectos","status":"publish","type":"page","link":"https:\/\/www.car.upm-csic.es\/en\/investigacion\/proyectos\/","title":{"rendered":"Projects"},"content":{"rendered":"<p>[et_pb_section bb_built=\u00bb1&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_row _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_text _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<h1>PROYECTOS<\/h1>\n<p>&nbsp;<\/p>\n<p>Proyectos representativos\u00a0<\/p>\n<p>[\/et_pb_text][et_pb_divider _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<p>[\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb1_3,1_3,1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/tailorproject.eu\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member _builder_version=\u00bb4.27.0&#8243; name=\u00bbCONCEPT-INDRI\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2026\/03\/CONCEPT-INDRI.png\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p>Sistema digital para el seguimiento geri\u00e1trico de la calidad de la marcha de personas mayores en entornos no asistenciales (CONCEPT-INDRI).<\/p>\n<p>La creciente disponibilidad de tecnolog\u00edas de sensores, dispositivos port\u00e1tiles y procesamiento inteligente de datos est\u00e1 transformando la salud digital. La monitorizaci\u00f3n remota y no intrusiva de personas mayores en entornos no asistenciales como sus propios hogares o espacios comunitarios ofrece una oportunidad \u00fanica para mejorar el bienestar, prolongar la autonom\u00eda y optimizar la planificaci\u00f3n sanitaria. Sin embargo, a pesar de los avances tecnol\u00f3gicos, la integraci\u00f3n real en la atenci\u00f3n geri\u00e1trica sigue siendo limitada debido a barreras de usabilidad, falta de personalizaci\u00f3n y preocupaciones sobre la privacidad. En Espa\u00f1a, m\u00e1s del 20&amp;#8239;% de la poblaci\u00f3n supera actualmente los 65 a\u00f1os, una proporci\u00f3n que se espera supere el 35% en 2050. Aunque la longevidad es un logro social, plantea desaf\u00edos importantes como la cronicidad, la fragilidad, la multimorbilidad y el deterioro funcional o cognitivo. En muchos casos, las personas mayores que viven de forma independiente pueden permanecer sin supervisi\u00f3n durante largos periodos, dificultando la detecci\u00f3n precoz de signos de deterioro.<\/p>\n<p>Este subproyecto se centra en el desarrollo y validaci\u00f3n de un sistema digital para la evaluaci\u00f3n continua de la calidad de la marcha, orientado a detectar precozmente la fragilidad y el riesgo de ca\u00eddas, al tiempo que permite rutinas de rehabilitaci\u00f3n f\u00edsica remota adaptadas a cada persona. El sistema propuesto integra sensores inerciales port\u00e1tiles colocados en el pie con c\u00e1maras de profundidad y algoritmos avanzados de estimaci\u00f3n de trayectorias y an\u00e1lisis de patrones de marcha. A partir de estos sensores, se extraer\u00e1n par\u00e1metros espaciotemporales como la longitud del paso, la cadencia, la simetr\u00eda o la velocidad de la marcha, reconocidos como biomarcadores de rendimiento funcional y predictores de eventos adversos. Estos indicadores alimentar\u00e1n modelos de clasificaci\u00f3n capaces de detectar cambios sutiles en la movilidad o patrones an\u00f3malos incluso en presencia de marcha patol\u00f3gica o deterioro cognitivo, como ocurre en casos de fragilidad, p\u00e1rkinson o demencia incipiente.<\/p>\n<p>El sistema incluir\u00e1 adem\u00e1s funcionalidades para la realizaci\u00f3n aut\u00f3noma de rutinas de ejercicio f\u00edsico guiado, supervisadas mediante visi\u00f3n artificial a trav\u00e9s de c\u00e1maras de profundidad, lo que permitir\u00e1 al propio usuario realizar entrenamientos de forma segura en su domicilio. Esta doble vertiente evaluaci\u00f3n y entrenamiento har\u00e1 posible intervenciones regulares, personalizadas y no asistidas, con el objetivo de revertir el deterioro asociado a la inactividad o al envejecimiento, y ofrecer un seguimiento continuo de la evoluci\u00f3n funcional a lo largo del tiempo.<\/p>\n<p>Las tecnolog\u00edas desarrolladas se apoyar\u00e1n en resultados previos del proyecto INDRI, que demostr\u00f3 la viabilidad de sistemas inerciales montados en el pie, t\u00e9cnicas robustas de estimaci\u00f3n de trayectoria y segmentaci\u00f3n de pasos en escenarios reales.<br \/>El sistema final ser\u00e1 m\u00ednimamente intrusivo, adaptable a distintos entornos, y co-dise\u00f1ado con personas mayores, profesionales sanitarios y cuidadores, garantizando su aceptaci\u00f3n, utilidad cl\u00ednica y respeto a la privacidad. Mediante una monitorizaci\u00f3n continua de la marcha y la movilidad en entornos comunitarios, este subproyecto contribuir\u00e1 a un modelo proactivo de apoyo al envejecimiento saludable y prevenci\u00f3n de ca\u00eddas.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb1_3,1_3,1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/tailorproject.eu\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member _builder_version=\u00bb4.27.0&#8243; name=\u00bbCONTINUUM\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243; image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2026\/03\/Screenshot-2025-10-06-at-13.31.49-400&#215;284-1.png\u00bb link_option_url=\u00bbhttps:\/\/biorobotics.car.upm-csic.es\/project\/continuum\/\u00bb]<\/p>\n<p>El proyecto CONTINUUM aborda el acuciante reto que supone la enfermedad de Parkinson (EP), una afecci\u00f3n cuya prevalencia se ha duplicado en los \u00faltimos 25 a\u00f1os y que actualmente afecta a m\u00e1s de 10 millones de personas en todo el mundo. La EP se manifiesta a trav\u00e9s de un complejo conjunto de s\u00edntomas motores que var\u00edan en el espacio, el tiempo y los niveles fisiol\u00f3gicos, afectando a m\u00faltiples partes del cuerpo y evolucionando a lo largo de per\u00edodos prolongados, al tiempo que fluct\u00faan en ciclos cortos.<\/p>\n<p>Los m\u00e9todos de evaluaci\u00f3n cl\u00ednica actuales, incluidas las escalas MDS-UPDRS y H&amp;Y, solo ofrecen categorizaciones generales y adolecen de variabilidad inter e intraevaluador, lo que limita su eficacia a la hora de detectar y monitorizar la progresi\u00f3n de la enfermedad.<\/p>\n<p>Aunque la tecnolog\u00eda de detecci\u00f3n de movimiento se ha mostrado prometedora en la identificaci\u00f3n de biomarcadores motores para la EP, los enfoques actuales se enfrentan a limitaciones significativas. Las pruebas de laboratorio, aunque precisas, no logran captar el comportamiento natural y se realizan con demasiada poca frecuencia para detectar s\u00edntomas irregulares o cambios a corto plazo. Por el contrario, el seguimiento domiciliario, aunque ofrece observaciones m\u00e1s naturales, se enfrenta a retos t\u00e9cnicos relacionados con las limitaciones de los sensores y la interpretaci\u00f3n de los datos.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member _builder_version=\u00bb4.27.0&#8243; name=\u00bbARGUS\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-19-ene-2026-13_11_28-400&#215;284-1.png\u00bb link_option_url=\u00bbhttps:\/\/biorobotics.car.upm-csic.es\/project\/argus\/\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p>ARGUS es una plataforma de IA explicable dise\u00f1ada para ayudar a los profesionales cl\u00ednicos en la evaluaci\u00f3n y el seguimiento de la enfermedad de Parkinson (EP) en contextos cl\u00ednicos y de la vida cotidiana del mundo real. Basada en los fundamentos cient\u00edficos del proyecto NEUROMARK, ARGUS transforma biomarcadores motores validados y modelos de IA en una plataforma de software centrada en el usuario que se integra a la perfecci\u00f3n en los flujos de trabajo cl\u00ednicos.<\/p>\n<p>Su objetivo es abordar las principales barreras que impiden la adopci\u00f3n cl\u00ednica de las herramientas de salud digital: complejidad, falta de explicabilidad, escasa validez ecol\u00f3gica, problemas de gobernanza de datos e integraci\u00f3n limitada a la pr\u00e1ctica cl\u00ednica.<\/p>\n<p>El sistema combina el an\u00e1lisis de datos de movimiento multimodal con el aprendizaje federado y t\u00e9cnicas de IA explicable (XAI + LLM) para ofrecer informes transparentes e interpretables que ayuden a los m\u00e9dicos a tomar decisiones informadas y objetivas. Al mismo tiempo, empodera a los pacientes al proporcionarles res\u00famenes narrativos y accesibles de su estado motor y las fluctuaciones de sus s\u00edntomas a lo largo del d\u00eda.<\/p>\n<p>Este proyecto de prueba de concepto tiene como objetivo hacer avanzar la tecnolog\u00eda actual de TRL 3 a TRL 6, lo que dar\u00e1 como resultado un prototipo cl\u00ednicamente validado y listo para la producci\u00f3n. ARGUS se dise\u00f1ar\u00e1 conjuntamente con m\u00e9dicos, se probar\u00e1 en un entorno de laboratorio viviente y se preparar\u00e1 para su comercializaci\u00f3n mediante una estrategia de explotaci\u00f3n espec\u00edfica y la creaci\u00f3n de una empresa derivada. Al salvar la brecha entre la innovaci\u00f3n cient\u00edfica y la usabilidad cl\u00ednica, ARGUS se posiciona como un asistente transformador para el futuro de la neurolog\u00eda personalizada.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member _builder_version=\u00bb4.27.0&#8243; name=\u00bbMIMIC-B\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2026\/03\/MIMIC-logo.png\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; text_shadow_horizontal_length_tablet=\u00bb0px\u00bb text_shadow_vertical_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243; link_option_url=\u00bbhttps:\/\/biorobotics.car.upm-csic.es\/project\/mimic-b\/\u00bb]<\/p>\n<p>El equilibrio humano es un proceso din\u00e1mico y multifac\u00e9tico que se ve determinado por la interacci\u00f3n continua entre los est\u00edmulos sensoriales y las respuestas motoras. El proyecto MIMIC-B pretende desentra\u00f1ar estas complejidades mediante un an\u00e1lisis en profundidad de c\u00f3mo se controla y se mantiene el equilibrio, con el objetivo de traducir este conocimiento en modelos avanzados para el control de exoesqueletos.<\/p>\n<p>Para lograrlo, desarrollaremos modelos predictivos de regulaci\u00f3n del equilibrio que integren la din\u00e1mica sensoriomotora utilizando herramientas como OpenSim. Al simular el papel del centro de masa como variable de control, pretendemos captar la interacci\u00f3n entre la propiocepci\u00f3n, la rigidez articular y la coordinaci\u00f3n neuromuscular. Estos modelos se basar\u00e1n en datos experimentales tanto de personas sanas como de pacientes con trastornos del equilibrio, lo que nos permitir\u00e1 identificar estrategias de control clave y su variabilidad entre las distintas poblaciones.<\/p>\n<p>Este marco de modelizaci\u00f3n servir\u00e1 de base para dise\u00f1ar controladores bioinspirados capaces de imitar respuestas de equilibrio similares a las humanas, lo que en \u00faltima instancia permitir\u00e1 una asistencia rob\u00f3tica m\u00e1s adaptativa e intuitiva.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb1_3,1_3,1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/tailorproject.eu\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member _builder_version=\u00bb4.27.0&#8243; 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horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243; link_option_url=\u00bbhttps:\/\/www.car.upm-csic.es\/proyecto-elma-exoesqueleto-para-ayudar-en-la-manipulacion-de-cargas\/\u00bb]<\/p>\n<p>El proyecto ELMA (Exoskeleton for Load Manipulation Assistance) tiene como objetivo el desarrollo de un exoesqueleto rob\u00f3tico para la asistencia en la manipulaci\u00f3n de cargas, orientado a reducir el esfuerzo f\u00edsico y mejorar la ergonom\u00eda en tareas laborales que implican levantamiento o transporte de peso. El proyecto ha sido desarrollado en el Centro de Autom\u00e1tica y Rob\u00f3tica de la Universidad Polit\u00e9cnica de Madrid (UPM-CSIC).<\/p>\n<p>Durante el proyecto se ha dise\u00f1ado y construido un prototipo de exoesqueleto de miembro superior capaz de asistir al movimiento de hombro y codo durante tareas de manipulaci\u00f3n de cargas, manteniendo la movilidad natural del usuario. El sistema integra actuadores el\u00e9ctricos, sensores internos y se\u00f1ales electromiogr\u00e1ficas (EMG) para interpretar la actividad muscular del usuario y adaptar la asistencia de forma natural.<\/p>\n<p>Uno de los avances m\u00e1s relevantes ha sido el desarrollo de m\u00e9todos de detecci\u00f3n de intenci\u00f3n de movimiento, combinando datos biomec\u00e1nicos, se\u00f1ales musculares y t\u00e9cnicas avanzadas de aprendizaje autom\u00e1tico para anticipar las acciones del usuario. 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243; link_option_url=\u00bbhttps:\/\/www.car.upm-csic.es\/drivable-tecnologia-que-transforma-la-movilidad-para-personas-con-condiciones-neurologicas\/\u00bb]<\/p>\n<p><strong>DrivABLE: Tecnolog\u00eda que transforma la movilidad para personas con condiciones neurol\u00f3gicas<\/strong><\/p>\n<p>\u00bfImaginas un veh\u00edculo que se adapta a ti y te ayuda a mantener tu independencia de forma segura?<\/p>\n<p>DrivABLE es un proyecto pionero que combina inteligencia artificial, neurociencia y rob\u00f3tica para crear sistemas avanzados de asistencia a la conducci\u00f3n personalizados para pacientes con Parkinson, ictus y otras condiciones neurol\u00f3gicas.<\/p>\n<p>Gracias a la colaboraci\u00f3n entre el Centro de Autom\u00e1tica y Rob\u00f3tica (CSIC-UPM), el grupo GINDAT de la Universidad Francisco de Vitoria, y fabricantes como Renault e Hyundai, estamos desarrollando herramientas de diagn\u00f3stico y apoyo que monitorizan en tiempo real las capacidades del conductor y se adaptan a sus necesidades.<\/p>\n<p>Nuestro objetivo: pasar de evaluaciones puntuales y subjetivas a un apoyo continuo, objetivo y personalizado que maximice la autonom\u00eda mientras garantiza la seguridad vial.<\/p>\n<p>DrivABLE no solo mejora la vida de los pacientes, sino que aporta conocimientos fundamentales sobre c\u00f3mo las condiciones neurol\u00f3gicas afectan tareas complejas del mundo real.<\/p>\n<p>Proyecto financiado por la Comunidad de Madrid en la modalidad de Proyectos Sin\u00e9rgicos I+D.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; 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horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243; link_option_url=\u00bbhttps:\/\/olivecarbonbalance.ecovalia.org\/\u00bb]<\/p>\n<p>Olive Carbon Balance es un proyecto innovador orientado a cuantificar y optimizar el balance de carbono en la producci\u00f3n de aceite de oliva a nivel de parcela, contribuyendo a la sostenibilidad ambiental y a la lucha contra el cambio clim\u00e1tico. El proyecto aborda la necesidad de disponer de metodolog\u00edas rigurosas, transparentes y con base cient\u00edfica para determinar tanto las emisiones como la captura de CO\u2082 asociadas al cultivo del olivar.<\/p>\n<p>El proyecto se apoya en un enfoque multidisciplinar en el que participa el grupo FSR, aportando su experiencia en rob\u00f3tica y percepci\u00f3n inteligente para la monitorizaci\u00f3n de parcelas de olivar. Olive Carbon Balance combina datos de campo, sensores remotos y locales, teledetecci\u00f3n y an\u00e1lisis del suelo y de la biomasa del olivo, junto con el desarrollo de algoritmos avanzados que permiten calcular el balance neto de carbono en diferentes tipolog\u00edas de cultivo y sistemas de manejo.<\/p>\n<p>Como resultado, el proyecto proporcionar\u00e1 herramientas que permitir\u00e1n a los agricultores conocer y mejorar el comportamiento clim\u00e1tico de sus explotaciones, as\u00ed como explorar la certificaci\u00f3n y valorizaci\u00f3n de los cr\u00e9ditos de carbono generados mediante tecnolog\u00edas digitales como blockchain. 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Los enfoques terap\u00e9uticos tradicionales se centran en la activaci\u00f3n repetitiva del sistema motor afectado. Uno de los s\u00edntomas m\u00e1s comunes que dificulta la rehabilitaci\u00f3n eficaz es una excitabilidad refleja espinal anormal y revertir la excitabilidad refleja a estados \u201cnormales\u201d es un objetivo terap\u00e9utico principal.<\/p>\n<p>NETS (NEuroplasticity-based Therapy for rehabilitation of Spinal cord injury patients) est\u00e1 dise\u00f1ado para ayudar en la rehabilitaci\u00f3n de la marcha mediante el dise\u00f1o y la evaluaci\u00f3n de un enfoque terap\u00e9utico novedoso que aproveche los procesos de plasticidad neural en las v\u00edas implicadas en la generaci\u00f3n y modulaci\u00f3n de la locomoci\u00f3n. El nuevo protocolo NETS se dise\u00f1ar\u00e1 a partir de datos recogidos experimentalmente en pacientes con lesi\u00f3n medular y se probar\u00e1 durante el entrenamiento rob\u00f3tico de la marcha en dicho grupo de pacientes. Se espera que la implementaci\u00f3n de NETS induzca una reversi\u00f3n de la excitabilidad refleja maladaptativa a un estado normal y d\u00e9 lugar a una mejora en los resultados de la marcha en pacientes con LM.<\/p>\n<p>Referencia de la financiaci\u00f3n: Danmarks Frie Forskningsfond | Det Tv\u00e6rr\u00e5dslige Udvalg | International Postdoctoral Grant: ID 10.46540\/3104-00012B. Mauricio C. Henrich, PhD. Supervisors: Erika G Spaich and Juan C. 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Se centra en los temas del middleware SDV, la API y una arquitectura flexible basada en microservicios. 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position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p>TAILOR (Formaci\u00f3n de la pr\u00f3xima generaci\u00f3n de investigadores que llevar\u00e1n los robots de rehabilitaci\u00f3n a la pr\u00e1ctica cl\u00ednica) es una red doctoral Marie Sk\u0142odowska-Curie centrada en revolucionar la rob\u00f3tica de rehabilitaci\u00f3n para afecciones neurol\u00f3gicas. Mediante la creaci\u00f3n de marcos innovadores que mejoran la colaboraci\u00f3n entre terapeutas, robots y pacientes, TAILOR tiene como objetivo hacer que la rehabilitaci\u00f3n sea m\u00e1s eficiente, atractiva y eficaz.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb1_3,1_3,1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/tailorproject.eu\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member name=\u00bbAerialist\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2025\/03\/aerialist2.png\u00bb _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/dn-aerialist.eu\/\u00bb global_colors_info=\u00bb{}\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p data-start=\"34\" data-end=\"403\">AERIALIST tiene como objetivo revolucionar la tecnolog\u00eda de asistencia sanitaria mediante el desarrollo de soluciones inteligentes, seguras y adaptables que mejoren los resultados sanitarios y la calidad de vida. Al integrar el aprendizaje autom\u00e1tico de vanguardia y el dise\u00f1o centrado en el ser humano, el proyecto aborda las limitaciones de las tecnolog\u00edas actuales, garantizando una mayor fiabilidad y autonom\u00eda en situaciones reales. El objetivo final del proyecto es crear tecnolog\u00edas de asistencia de \u00faltima generaci\u00f3n que mejoren los diagn\u00f3sticos, los tratamientos y la accesibilidad, promoviendo la equidad en la vida cotidiana.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member name=\u00bbAI Bridge\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2025\/03\/logoXmobile-website-2-e1742363373896.png\u00bb _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/cordis.europa.eu\/project\/id\/101203096&#8243; hover_enabled=\u00bb0&#8243; global_colors_info=\u00bb{}\u00bb title_text=\u00bblogo_Google\u00bb sticky_enabled=\u00bb0&#8243; background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p>AI-Bridge aprovecha la inteligencia artificial para abordar dos retos sanitarios cr\u00edticos: la par\u00e1lisis cerebral en ni\u00f1os y las infecciones por tripanosomas en regiones tropicales. Mediante la creaci\u00f3n de tratamientos personalizados a trav\u00e9s del an\u00e1lisis de IA, el proyecto desarrolla una terapia rob\u00f3tica adaptativa para ni\u00f1os peque\u00f1os con par\u00e1lisis cerebral, al tiempo que identifica nuevos objetivos farmacol\u00f3gicos para las enfermedades parasitarias. A trav\u00e9s de herramientas de c\u00f3digo abierto y asociaciones globales, ADAPT pretende transformar la atenci\u00f3n sanitaria de las poblaciones vulnerables en todo el mundo.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member name=\u00bbSHEREC\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2025\/03\/SHEREC-logo.png\u00bb _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/www.linkedin.com\/company\/sherec\/about\/\u00bb global_colors_info=\u00bb{}\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p>El objetivo principal del proyecto SHEREC es mejorar significativamente las condiciones de salud y seguridad laboral en la industria del reciclaje de buques. 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En concreto, en los dos a\u00f1os, el plan es desarrollar un sistema que estime el estado de una enfermedad (EM, EP) durante la marcha regular utilizando zapatos sensorizados con tres sensores de fuerza miniaturizados de seis ejes, y construir un modelo PES como t\u00e9cnica de neuromodulaci\u00f3n para guiar la plasticidad dependiente de la actividad como tratamiento para la marcha an\u00f3mala en la EP. 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position_text_shadow_horizontal_length_tablet=\u00bb0px\u00bb position_text_shadow_vertical_length=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_vertical_length_tablet=\u00bb0px\u00bb position_text_shadow_blur_strength=\u00bbposition_text_shadow_style,%91object Object%93&#8243; position_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb vertical_offset_tablet=\u00bb0&#8243; horizontal_offset_tablet=\u00bb0&#8243; z_index_tablet=\u00bb0&#8243;]<\/p>\n<p>UNEXMIN es un proyecto financiado por la UE en el marco de Horizonte 2020 que ha desarrollado un novedoso sistema rob\u00f3tico para la exploraci\u00f3n y cartograf\u00eda aut\u00f3nomas de las minas inundadas de Europa. Las plataformas Robotic Explorer utilizan m\u00e9todos no invasivos para el mapeo aut\u00f3nomo en 3D de minas con el fin de recopilar valiosa informaci\u00f3n geol\u00f3gica, mineral\u00f3gica y espacial. Esto puede abrir nuevas posibilidades de exploraci\u00f3n, de modo que las decisiones estrat\u00e9gicas sobre la reapertura de minas abandonadas en Europa puedan basarse en datos actualizados que no pueden obtenerse por otros medios, sin grandes costes ni riesgos.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb1_3,1_3,1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member name=\u00bbHAL4SDV\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2025\/03\/HAL4SDV.png\u00bb _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/www.hal4sdv.eu\u00bb global_colors_info=\u00bb{}\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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Al centrarse en unificar las interfaces de software y las metodolog\u00edas de desarrollo, HAL4SDV permitir\u00e1 una configuraci\u00f3n de software que se abstraiga del hardware del veh\u00edculo, allanando el camino para un enfoque de \u00abveh\u00edculo definido por software (SDV)\u00bb tanto para aplicaciones cr\u00edticas para la seguridad como para aplicaciones no cr\u00edticas para la seguridad en los veh\u00edculos del futuro.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member name=\u00bbDACWEED\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2025\/03\/cropped-dacweed_logo-3.png\u00bb _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb link_option_url=\u00bbhttps:\/\/dacweed.eu\/\u00bb global_colors_info=\u00bb{}\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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La creciente preocupaci\u00f3n p\u00fablica por la seguridad alimentaria y las normas m\u00e1s estrictas que se aplican en todo el mundo en relaci\u00f3n con los residuos de herbicidas en la cadena agroalimentaria reducen la aceptaci\u00f3n por parte de los consumidores de la protecci\u00f3n fitosanitaria qu\u00edmica. El grupo GPA implementar\u00e1 y combinar\u00e1 componentes novedosos que ya existen en el mercado con el fin de regular de forma espec\u00edfica el control mec\u00e1nico de las malas hierbas y realizar aplicaciones de herbicidas espec\u00edficas para cada lugar.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=\u00bb1_3&#8243; _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_team_member name=\u00bbinGAIT\u00bb image_url=\u00bbhttps:\/\/www.car.upm-csic.es\/wp-content\/uploads\/2025\/03\/inGAITLogo.png\u00bb _builder_version=\u00bb4.27.0&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb link_option_url=\u00bbhttps:\/\/ingait.wordpress.com\/\u00bb global_colors_info=\u00bb{}\u00bb background_pattern_color=\u00bbrgba(0,0,0,0.2)\u00bb background_mask_color=\u00bb#ffffff\u00bb box_shadow_horizontal_image_tablet=\u00bb0px\u00bb box_shadow_vertical_image_tablet=\u00bb0px\u00bb box_shadow_blur_image_tablet=\u00bb40px\u00bb box_shadow_spread_image_tablet=\u00bb0px\u00bb text_shadow_horizontal_length=\u00bbtext_shadow_style,%91object Object%93&#8243; 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Los resultados de CropCareBot contribuir\u00e1n al avance de la Agricultura 4.0 mediante el desarrollo de tecnolog\u00eda rob\u00f3tica disruptiva, impulsando el mercado de la rob\u00f3tica agr\u00edcola en Espa\u00f1a y Europa y ayudando a los agricultores a mejorar la rentabilidad y sostenibilidad de sus explotaciones.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PROYECTOS &nbsp; Proyectos representativos\u00a0 Sistema digital para el seguimiento geri\u00e1trico de la calidad de la marcha de personas mayores en entornos no asistenciales (CONCEPT-INDRI).La creciente disponibilidad de tecnolog\u00edas de sensores, [&hellip;]<\/p>\n","protected":false},"author":2996,"featured_media":0,"parent":17956,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-17964","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Proyectos - Centro de Autom\u00e1tica y Rob\u00f3tica<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.car.upm-csic.es\/en\/investigacion\/proyectos\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Proyectos - Centro de Autom\u00e1tica y Rob\u00f3tica\" \/>\n<meta property=\"og:description\" content=\"PROYECTOS &nbsp; 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