COVIBOT: Robotic Strategies for Monitoring and Disinfection of COVID-19 environments

  • Funded by Royal Academy of Engineering (RAENG)
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $26,400
  • Funder

    Royal Academy of Engineering (RAENG)
  • Principal Investigator

    Cifuentes Garcia Carlos Andres
  • Research Location

    Colombia
  • Lead Research Institution

    Escuela Colombiana de Ingeniería
  • Research Priority Alignment

    N/A
  • Research Category

    Infection prevention and control

  • Research Subcategory

    Barriers, PPE, environmental, animal and vector control measures

  • Special Interest Tags

    Innovation

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Several countries are now resuming their activities after the quarantine period caused by the outbreak and rapid transmission of the COVID-19. However, several biosafety measurements, such as continuous monitoring of people, disinfection, and decontamination of environments are still required. All over the world, different robotic tools have been deployed to support these measurements, aiming to reduce the risk of infection in hazardous environments. However, these solutions are highly expensive in developing countries, and in some cases limited to local applications. Therefore, the aim of this project is to address this challenge and to control and reduce the COVID-19 transmission risk by means of developing robotic strategies for monitoring non-safety conditions related to human behaviours and, for planning processes of disinfection of outdoor and indoor environments. This project will configure an international cooperation network to generate a wider impact, which is led by the Colombian School of Engineering Julio Garavito, with leading Investigator Carlos A. Cifuentes and the University of Edinburgh support by Professor Subramanian Ramamoorthy along with researchers and clinicians from Latin America (Colombia, Brazil, Argentina and Chile). The outcomes will be validated under laboratory conditions and will be deployed as an open-source platform to ease external collaborations.