Profesores e Investigadores

Departamentos

Curriculum Vitae

Julio Manuel Vega Pérez
Profesor/a Contratado/a Doctor/a
1
Quinquenios
2023
3
Docentia
2024-25
1
Sexenios investigación
2022

Centro

E. Ingeniería de Fuenlabrada

Departamento

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación

Área

Ingeniería Telemática

Grupo docente

Grupo de Innovación Docente Emergente en Competencias para una Transición Eco-Social Justa

Contacto

julio.vega@urjc.es
Presentación

  •      Visit his home page: https://gsyc.urjc.es/jmvega

         Associate Professor in Telematic Systems and Computing at Universidad Rey Juan Carlos (URJC). He holds a PhD with distinction in Computer Science and Artificial Intelligence from the Universidad de Alicante, with research also conducted at URJC. Additionally, he earned an MEd in Teaching from URJC, a BASc in Computer Science from the Universidad de Extremadura, and an MSc in Computer Science from URJC, with studies also completed at the Universidad Politécnica de Madrid. He leads the Low-cost Robotics Group at Universidad Rey Juan Carlos, focusing on developing affordable robotic systems to address societal needs.
     
          His research spans a wide range of topics in robotics, including artificial intelligence, machine learning, computer vision, sensor fusion, control systems, human-robot interaction, autonomous systems, and mechatronics. Part of his research was conducted at York University in Canada, at various colleges of the University of Eastern Finland, and at the University of Southern Denmark.He has extensive experience in robotics development, including enhancing autonomous robots with visual memory-based navigation systems and integrating advanced algorithms into educational frameworks. He has designed and developed robotic platforms from the ground up, demonstrating expertise in hardware development, system integration, and adapting robotics solutions to diverse applications. His current research focuses on creating low-cost multisensory systems for non-invasive monitoring and welfare assessment of laboratory animals, combining robotics and sensor technology to address critical challenges in animal welfare.

Docencia impartida en el curso actual
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Histórico docente (últimos 10 cursos)
Listado de proyectos (Últimos 10 años)
Códigos de investigador
Métricas de impacto por agencia
Agencia Nº documentos Nº citas Índice H Q1 D1 IFNB IFNESI
Logo de la agencia 'Web of Science' Web of Science 11 116 6 1 - 0,85 0,47
Logo de la agencia 'Scopus' Scopus 14 147 6 2 1 1,00 -
Logo de la agencia 'Dialnet' Dialnet 1 - - - - - -
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Información adicional
  • Here is the list of his most recent publications. For a complete and up-to-date list, please visit https://gsyc.urjc.es/jmvega/publications.html.

    [1] [Article]. David Campoamor and Julio Vega. Design and experimental validation of a vision-based robotic framework for strawberry harvesting. Electronics, 15(14), July 2026. ISSN 2079-9292. [ bib | DOI | http | http | .pdf ]

    [2] [Article]. Sebastián A. Mayorquín and Julio Vega. Thinking is not enough: The B* expansion technique for enhancing autonomous LLM agents. Expert Systems, 43(8):e70333, June 2026. ISSN 1468-0394. [ bib | DOI | http | http | .pdf ]

    [3] [Preprint]. Julio Vega. Rethinking AI in the age of climate collapse: Ethics, power, and responsibility. arXiv cs.CY, January 2026. ePrint 2601.18462. [ bib | DOI | arXiv | http | .pdf ]

    [4] [Article]. Julio Vega and Vidal Pérez. G-ARM: An open-source and low-cost robotic arm integrated with ROS2 for educational purposes. Multimedia Tools and Applications, March 2025. ISSN 1573-7721. [ bib | DOI | http | http | .pdf ]
Méritos
  • Coordinador de 1.º curso del Grado en Ingeniería de Robótica Software.
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