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Grant: Alliance Grants

Toronto Metropolitan University

$25,000.00

Multi-robot Active Gaussian Splatting

FY 2024-25

Summary
The next revolution in robotics is expected to be the distributed robotic systems. Collaboratively and without the need for a central agent, robots will evolve to perform complex applications that are beyond the capabilities of a single robot. Example applications include ocean exploration, wildland firefighting, transporting large objects, agriculture, managing warehouses, and performing essential services in hospitals and care homes. One key requirement in these applications is to map an unknown environment quickly and efficiently with a team of robots, in a distributed manner. In this proposal, we achieve this objective utilizing recent advances in neural networks and machine learning. To do this, an international collaboration is established with a university in the UK. The team in Canada will work on robotics and path planning, while the team in the UK will be responsible for mapping. This international collaboration will help train experts in multiple disciplines and develop novel robotic applications in both countries. Additionally, with the aging population globally, service robots will be more common in factories and warehouses. Developing such technologies makes Canada a pioneer and a global market leader in the applications of robotic systems. Utilizing robotic systems creates more opportunities by generating jobs in these novel application areas. Additionally, repetitive and dangerous tasks, often needed in industrial settings, will be done more efficiently and accurately by robots, minimizing risks to humans.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
597501-2024
Name nom
Saeedi, Sajad SSG
Department département
Mechanical and Industrial Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2600
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotics
Research subject fr
Robotique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Multi-robot Active Gaussian Splatting
Keywords
active slam; gaussian splatting; neural networks; robotics; simultaneous localization & mapping
Application summary
The next revolution in robotics is expected to be the distributed robotic systems. Collaboratively and without the need for a central agent, robots will evolve to perform complex applications that are beyond the capabilities of a single robot. Example applications include ocean exploration, wildland firefighting, transporting large objects, agriculture, managing warehouses, and performing essential services in hospitals and care homes. One key requirement in these applications is to map an unknown environment quickly and efficiently with a team of robots, in a distributed manner. In this proposal, we achieve this objective utilizing recent advances in neural networks and machine learning. To do this, an international collaboration is established with a university in the UK. The team in Canada will work on robotics and path planning, while the team in the UK will be responsible for mapping. This international collaboration will help train experts in multiple disciplines and develop novel robotic applications in both countries. Additionally, with the aging population globally, service robots will be more common in factories and warehouses. Developing such technologies makes Canada a pioneer and a global market leader in the applications of robotic systems. Utilizing robotic systems creates more opportunities by generating jobs in these novel application areas. Additionally, repetitive and dangerous tasks, often needed in industrial settings, will be done more efficiently and accurately by robots, minimizing risks to humans.
Toronto Metropolitan University - $25,000 Grant (2024… | Canada Spends