Grant: Research Tools and Instruments - Category 1 (<$150,000)
University of Waterloo
$92,778.00
Mobile manipulators and heterogeneous robot networks
EF 2010-11
Résumé
This proposal requests equipment to facilitate research in the areas of mobile manipulators and
mobile robots. These are extremely active research areas because they have great potential in
applications such as reconfigurable work cells, autonomous inventory management, part delivery
for manufacturing, mobile sensors for atmospheric research, mobile manipulators for rehabilitation
science, reliable and self-healing robotic teams, and robotic monitoring in dynamic and uncertain
environments. The requested equipment is multipurpose and will support a broad range of research programs that have direct applications in all these key areas.
The equipment is needed to validate algorithms and design methods in the areas of multi-agent path following, learning control for motion primitives, model-based fault-diagnosis and fault-tolerant control, and robust optimization of robot motion. These research problems are naturally formulated and understood using mobile manipulators and robots. This suggests that the requested equipment is necessary to effectively demonstrate proposed solutions.
Masters and PhD students will gain significant experience developing vision algorithms for the on-board cameras, implementing linear and nonlinear control algorithms, writing embedded software, integrating sensing and communication data in a control loop, filtering and fusing noisy sensor data, fault-diagnosis and handling, and user testing with human-robot interaction. This experience is an asset in future employment because many industries, including aerospace, movie and TV production, manufacturing, and medical and rehabilitation research, utilize robotic systems and require trained personnel to operate and design for this type of equipment.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
407127-2011
Name nom
Nielsen, Christopher
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2011
Award amount
92778
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2601
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotic control
Research subject fr
Systèmes de commande
Partie
1
Nb partie
1
Application title
Mobile manipulators and heterogeneous robot networks
Keyword
NSERC
Application summary
This proposal requests equipment to facilitate research in the areas of mobile manipulators and
mobile robots. These are extremely active research areas because they have great potential in
applications such as reconfigurable work cells, autonomous inventory management, part delivery
for manufacturing, mobile sensors for atmospheric research, mobile manipulators for rehabilitation
science, reliable and self-healing robotic teams, and robotic monitoring in dynamic and uncertain
environments. The requested equipment is multipurpose and will support a broad range of research programs that have direct applications in all these key areas.
The equipment is needed to validate algorithms and design methods in the areas of multi-agent path following, learning control for motion primitives, model-based fault-diagnosis and fault-tolerant control, and robust optimization of robot motion. These research problems are naturally formulated and understood using mobile manipulators and robots. This suggests that the requested equipment is necessary to effectively demonstrate proposed solutions.
Masters and PhD students will gain significant experience developing vision algorithms for the on-board cameras, implementing linear and nonlinear control algorithms, writing embedded software, integrating sensing and communication data in a control loop, filtering and fusing noisy sensor data, fault-diagnosis and handling, and user testing with human-robot interaction. This experience is an asset in future employment because many industries, including aerospace, movie and TV production, manufacturing, and medical and rehabilitation research, utilize robotic systems and require trained personnel to operate and design for this type of equipment.