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Applied Intelligent and Cyber-Physical Systems Research Group

The Applied Intelligent and Cyber-Physical Systems Research Group aims to generate applied knowledge and integrated technological solutions that combine physical, electronic, and digital components. Its purpose is to contribute to the advancement of automation, artificial intelligence, energy efficiency, and sustainability within the framework of Industry 4.0 and 5.0, with a particular focus on productive sectors and territorial challenges in Uruguay.

  1. Control systems with collaborative robots, vision techniques, artificial intelligence, and telematics infrastructures.
  2. Industrial digital transformation, applications in contexts of technological paradigm shifts of Industry 4.0 and 5.0, in the agroindustry (from SMEs to large-scale industries), especially in the management of natural, energy, and water resources.
  3. Development and validation of solutions (software and hardware) in cyber-physical production systems, considering the mechatronic design perspective and its connection to IIoT, Data Science, and others.
  4. Devices designed for minimal energy consumption and supplied by clean energy.
  5. High-performance computing (HPC) and Quantum Computing applied to complex problems in the mechatronic sector.
  6. Self-evolving cyber-physical systems (doctoral line).
  • Early forest fire detection system
    Participants: UTEC
    Funding: UTEC
  • Development of robotic parts from sawmill residues
    Participants: UTEC
    Funding: UTEC, IDB
  • Solar thermal desalination system
    Participants: UTEC
    Funding: ANII
  • Solar drying and recovery of solid waste
    Participants: UTEC
    Funding: UTEC
  • Refurbishment of resilient modulus analysis equipment for soils
    Participants: UTEC, UDELAR
    Funding: CSIC – UDELAR
  • Digital Transformation in Agroindustry: INIA Case
    Participants: UTEC, INIA
  • Sasias, J. (2024, May). High-performance computing applied to the development of materials for robotics using forest residues [Conference presentation]. 1st UTEC Congress on Technology and Biosciences, Durazno, Uruguay.

  • Sasías, J. S. (2024, November). Quantum clustering and artificial intelligence: solving high-complexity problems in science and technology [Conference presentation]. International Conference on Applications of Artificial Intelligence (CINTIA), Montevideo, Uruguay.
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