Grant: Strategic Projects - Group
University of Waterloo
$208,000.00
Shared Decision Making and Progressive Automation for Manufacturing Assembly
FY 2016-17
Summary
The Canadian manufacturing industry is facing a critical need for innovation to improve the productivity, accuracy, flexibility and safety in manufacturing. This research project aims to develop the next generation of robotic technologies to enable automation of assembly operations in manufacturing, driving improvements in productivity, accuracy, flexibility, reconfigurability and ease of use for Canadian businesses. A key idea behind our approach is the development of tools for progressive automation, starting from existing (manual) assembly processes. This approach will enable companies to incrementally automate the assembly process, reducing capital costs and increasing flexibility, and enabling automation of even rapidly changing assembly processes. This will be accomplished through the development of five key technologies: reconfigurable robotics, accurate facility wide perception and localization, online task learning, monitoring and replanning, and human-machine interaction.We will develop reconfigurable robots that can be adapted to rapidly changing production requirements, and which can be easily reconfigured to handle task changes on the assembly line. A combined static and dynamic motion capture system will be developed to enable tracking of assembly components, tools, robotic platforms and human operators. The proposed system will operate in close collaboration with human operators to facilitate task learning, operator guidance and shared-autonomy decision making. Operator feedback will be used for correction and adaptation as the robot starts to perform (a subset of) the tasks. The accurate measurement of operator movement will also be used to allow the system to synchronize its actions to the operator, and provide feedback to the operator and modify plans when a task sequence deviation is detected. The approach will enable seamless operation of the human-robot team by making feedback from and control of the robot easily accessible, understandable and useful, facilitating communication between human and robot team members, and maximally leveraging human knowledge to accomplish team tasks.
Program
Strategic Projects - Group
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
493922-2016
Name nom
Kulic, Danica
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
2016
Competition year année de concours
2016
Award amount
208000
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1586
Committee name en
Strategic Projects - Advanced Manufacturing
Committee name fr
Projets stratégiques - Fabrication de pointe
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
2604
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Intelligent systems applications
Research subject fr
Applications de systèmes intelligents
Partie
1
Nb partie
3
Application title
Shared Decision Making and Progressive Automation for Manufacturing Assembly
Keyword
NSERC
Application summary
The Canadian manufacturing industry is facing a critical need for innovation to improve the productivity, accuracy, flexibility and safety in manufacturing. This research project aims to develop the next generation of robotic technologies to enable automation of assembly operations in manufacturing, driving improvements in productivity, accuracy, flexibility, reconfigurability and ease of use for Canadian businesses. A key idea behind our approach is the development of tools for progressive automation, starting from existing (manual) assembly processes. This approach will enable companies to incrementally automate the assembly process, reducing capital costs and increasing flexibility, and enabling automation of even rapidly changing assembly processes. This will be accomplished through the development of five key technologies: reconfigurable robotics, accurate facility wide perception and localization, online task learning, monitoring and replanning, and human-machine interaction.We will develop reconfigurable robots that can be adapted to rapidly changing production requirements, and which can be easily reconfigured to handle task changes on the assembly line. A combined static and dynamic motion capture system will be developed to enable tracking of assembly components, tools, robotic platforms and human operators. The proposed system will operate in close collaboration with human operators to facilitate task learning, operator guidance and shared-autonomy decision making. Operator feedback will be used for correction and adaptation as the robot starts to perform (a subset of) the tasks. The accurate measurement of operator movement will also be used to allow the system to synchronize its actions to the operator, and provide feedback to the operator and modify plans when a task sequence deviation is detected. The approach will enable seamless operation of the human-robot team by making feedback from and control of the robot easily accessible, understandable and useful, facilitating communication between human and robot team members, and maximally leveraging human knowledge to accomplish team tasks.