Grant: Discovery Grants Program - Individual
University of Prince Edward Island
$59,000.00
SoCoBot: Socially Compliant Mobile Service Robots
EF 2024-25
Résumé
The autonomous mobile robots (AMRs) market is predicted to grow annually by 34.3% in the next 10 years and will reach US$22.15 billion in 2030. It is expected that AMRs will play a key role as human counterparts and caregivers in both industrial and daily-life settings. AMRs not only replace humans in minimizing their hands-on tasks but also closely work with humans to help them focus on cognitively demanding tasks in shared workplaces. However, to bring AMRs and its potential applications into social environments, the robots must be leveraged with high-level perception for socially aware reasoning and decision-making as well as socially compliant navigability. These capabilities will empower AMRs to safely and socially interact and collaborate with humans in human-robot shared workspaces.
This 5-year NSERC-DG research program is designed to research and develop a unified framework for Socially Compliant Mobile Service Robots. The long-term objective of this research program is to leverage AMRs with social awareness and socially compliant maneuverability, enabling the robots to work safely and socially with humans in shared workplaces. The first short-term objective will leverage not only reliable, accurate, and robust human detection and tracking but also human intention prediction for social reasoning and decision making. The second short-term objective is to reinforce AMRs with socially compliant avoiding, approaching, and accompanying navigability to enable the robots to operate in human-inhabited environments. The developed systems and algorithms of the project will be examined and validated on many mobile robot platforms available in the lab and lent from the industrial partners.
The significance and impact of this 5-year research programs are threefold:
1) Disseminating scientific findings to enrich the literature body of the mobile robotics field through scholar journals and conference presentations.
2) Contributing to the training of highly qualified personnel (HQP) who will directly contribute their highest level of knowledge and expertise to industry and society.
3) Transferring know-how knowledge and developed technologies to industrial partners to create new advanced technologies and intellectual productions, resulting in the growth of Canada's technological market.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Prince Edward Island, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2023-05961
Name nom
Ngo, Trung Dung
Department département
Faculty of Sustainable Design Engineering
Organization id
88
Institution établissement
University of Prince Edward Island
Province en
Prince Edward Island
Province fr
Île-du-Prince-Édouard
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
59000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
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
SoCoBot: Socially Compliant Mobile Service Robots
Keywords
socially-aware mobile robots; autonomous mobile robotics; socially compliant robot navigation; mobile service robots; social perception; human approaching; human accompanying; reliable and robust human detection and tracking; social intention prediction; social interaction categorization
Application summary
The autonomous mobile robots (AMRs) market is predicted to grow annually by 34.3% in the next 10 years and will reach US$22.15 billion in 2030. It is expected that AMRs will play a key role as human counterparts and caregivers in both industrial and daily-life settings. AMRs not only replace humans in minimizing their hands-on tasks but also closely work with humans to help them focus on cognitively demanding tasks in shared workplaces. However, to bring AMRs and its potential applications into social environments, the robots must be leveraged with high-level perception for socially aware reasoning and decision-making as well as socially compliant navigability. These capabilities will empower AMRs to safely and socially interact and collaborate with humans in human-robot shared workspaces.
This 5-year NSERC-DG research program is designed to research and develop a unified framework for Socially Compliant Mobile Service Robots. The long-term objective of this research program is to leverage AMRs with social awareness and socially compliant maneuverability, enabling the robots to work safely and socially with humans in shared workplaces. The first short-term objective will leverage not only reliable, accurate, and robust human detection and tracking but also human intention prediction for social reasoning and decision making. The second short-term objective is to reinforce AMRs with socially compliant avoiding, approaching, and accompanying navigability to enable the robots to operate in human-inhabited environments. The developed systems and algorithms of the project will be examined and validated on many mobile robot platforms available in the lab and lent from the industrial partners.
The significance and impact of this 5-year research programs are threefold:
1) Disseminating scientific findings to enrich the literature body of the mobile robotics field through scholar journals and conference presentations.
2) Contributing to the training of highly qualified personnel (HQP) who will directly contribute their highest level of knowledge and expertise to industry and society.
3) Transferring know-how knowledge and developed technologies to industrial partners to create new advanced technologies and intellectual productions, resulting in the growth of Canada's technological market.