Grant: Alliance Grants
University of Ontario Institute of Technology
$50,000.00
Design and Development of Autonomous Disinfecting Embedded Systems for COVID-19_x000d_ _x000d_ _x000d_ _x000d_ _x000d_
FY 2020-21
Summary
One of the major challenges during the COVID-19 pandemic is frequent disinfecting. This is very critical for places like hospitals and long term care. In most places, human operators perform the cleaning but it may cause them infected with the virus because of the shortages of personal protective equipment (PPE) and many of the unknowns of COVID-19. Cyberworks Robotics has industry-grade autonomous cleaning machines that can be very useful to deal-with COVID-19. The goal of this project is to improve Cyberworks Robotics technology on existing (a) floor disinfection machines (e.g. wet floor scrubbers) of various types used in hospitals, (b) high-intensity UV disinfection machines, and (c) chemical mist disinfection machines. In this collaboration, we aim to investigate to (a) increase the number of models of disinfection systems to which our add-on technology is compatible, and (b) increase the performance specifications of the core add-on navigation technology itself. This improvement would allow hospitals to disinfect the hospital surfaces on a more frequent basis than is possible with human cleaners and also simultaneously to increase the quality of cleaning by ensuring that some surfaces are not missed due to human error and neglect.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
554334-2020
Name nom
Azim, Akramul
Department département
Electrical, Computer and Software Engineering
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2705
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Software and development
Research subject fr
Logiciels et développement
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Design and Development of Autonomous Disinfecting Embedded Systems for COVID-19_x000d_
_x000d_
_x000d_
_x000d_
_x000d_
Keyword
NSERC
Application summary
One of the major challenges during the COVID-19 pandemic is frequent disinfecting. This is very critical for places like hospitals and long term care. In most places, human operators perform the cleaning but it may cause them infected with the virus because of the shortages of personal protective equipment (PPE) and many of the unknowns of COVID-19. Cyberworks Robotics has industry-grade autonomous cleaning machines that can be very useful to deal-with COVID-19. The goal of this project is to improve Cyberworks Robotics technology on existing (a) floor disinfection machines (e.g. wet floor scrubbers) of various types used in hospitals, (b) high-intensity UV disinfection machines, and (c) chemical mist disinfection machines. In this collaboration, we aim to investigate to (a) increase the number of models of disinfection systems to which our add-on technology is compatible, and (b) increase the performance specifications of the core add-on navigation technology itself. This improvement would allow hospitals to disinfect the hospital surfaces on a more frequent basis than is possible with human cleaners and also simultaneously to increase the quality of cleaning by ensuring that some surfaces are not missed due to human error and neglect.
