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Grant: Alliance Grants

Université de Sherbrooke

$100,000.00

Cobotic AppLication for handover and Load transport (CALL)

EF 2024-25

Résumé
This research project aims to enhance human-robot collaboration by developing advanced technologies for safe and proactive interactions between humans and robots. Our international team, composed of experts from France, Japan, and Canada, will work together to create robots that can better understand and respond to human actions in real-time. The project focuses on several key areas. First, we will develop new methods for robots to safely and effectively collaborate with humans in various tasks, using state-of-the-art robotics platforms and motion analysis systems to ensure smooth and intuitive interactions. Second, our research will advance robot vision systems, enabling robots to perceive and interpret their surroundings more accurately by using unconventional cameras and real-time tracking systems. Third, we will design and implement real-time control systems that allow robots to adapt their movements and actions based on human behavior, making interactions more natural and efficient. Finally, by studying human biomechanics and movement patterns, we will develop models that help robots predict and adapt to human actions, enhancing safety and collaboration. Our project will provide enriched training experiences for research trainees, allowing them to develop relevant technical skills in robotics, biomechanics, and control systems. They will also gain professional skills in leadership, communication, and collaboration through hands-on involvement in the project and interactions with international collaborators. In summary, this project will significantly advance the field of human-robot collaboration, leading to safer, more intuitive, and efficient interactions between humans and robots in various applications. The results of this research will benefit industries, healthcare, and everyday life, contributing to the development of intelligent robotic systems that can work seamlessly alongside humans.
Programme
Alliance Grants
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
597914-2024
Name nom
Suleiman, Wael W
Department département
Génie électrique et génie informatique
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
100000
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
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
Cobotic AppLication for handover and Load transport (CALL)
Keywords
biomechanics; control systems; experimental validation; human-robot interaction; machine learning; motion analysis; real-time control; vision-based systems
Application summary
This research project aims to enhance human-robot collaboration by developing advanced technologies for safe and proactive interactions between humans and robots. Our international team, composed of experts from France, Japan, and Canada, will work together to create robots that can better understand and respond to human actions in real-time. The project focuses on several key areas. First, we will develop new methods for robots to safely and effectively collaborate with humans in various tasks, using state-of-the-art robotics platforms and motion analysis systems to ensure smooth and intuitive interactions. Second, our research will advance robot vision systems, enabling robots to perceive and interpret their surroundings more accurately by using unconventional cameras and real-time tracking systems. Third, we will design and implement real-time control systems that allow robots to adapt their movements and actions based on human behavior, making interactions more natural and efficient. Finally, by studying human biomechanics and movement patterns, we will develop models that help robots predict and adapt to human actions, enhancing safety and collaboration. Our project will provide enriched training experiences for research trainees, allowing them to develop relevant technical skills in robotics, biomechanics, and control systems. They will also gain professional skills in leadership, communication, and collaboration through hands-on involvement in the project and interactions with international collaborators. In summary, this project will significantly advance the field of human-robot collaboration, leading to safer, more intuitive, and efficient interactions between humans and robots in various applications. The results of this research will benefit industries, healthcare, and everyday life, contributing to the development of intelligent robotic systems that can work seamlessly alongside humans.