Grant: Collaborative Research and Development Grants
Université Laval
$260,870.00
Advanced tools for flexible robotics
EF 2016-17
Résumé
This project aims to develop intelligent solutions for effective, flexible and adaptive task performance with tools or parts held by a robot using a versatile gripper, thereby leading the way to a new generation of robotic systems. The solutions developed will include the capability to properly grasp or regrasp objects or tools, to determine the feasibility of a given task with a given grasp, to plan regrasping trajectories if required, to adapt to changes in the environment and to effectively perform tasks that may require position, force or hybrid control capabilities. To this end, two new concepts of robotic hands will be developed and built. One of the hands will be designed to manipulate common industrial objects or tools while the other will be based on an anthropomorphic approach. Multi-modal tactile sensing components with extended capabilities will also be developed and integrated into the robotic hands. These sensors will be capable of detecting objects grasped, vibrations induced by contacts with the environment and other stimuli. Signal processing techniques will be developed in order to transform the sensor outputs into high-level information that can be used in a grasping and task performance scenario. For example, the robot will be capable to determine whether a given task can be performed with a tool based on the pose of the grasped tool and to plan regrasping maneuvers if required, thereby greatly improving the flexibility, adaptability and autonomy of robotic manipulators. Also, a force/torque sensor will be developed in order to provide an effective means of determining the external loads and guide the tasks accordingly. Finally, all results will be integrated into functional prototypes that will be used to produce convincing industry-relevant demonstrations of the solutions developed. More flexible and adaptable robots have the potential to rewrite the rules of manufacturing automation by opening new possibilities such as fully automated small series, autonomous agile manufacturing, reliable automatic quality control, and many others. These capabilities are in great need in the Canadian manufacturing industry.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
461709-2013
Name nom
Gosselin, Clement
Department département
Génie mécanique
Organization id
51
Institution établissement
Université Laval
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2013
Award amount
260870
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
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
2600
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotics
Research subject fr
Robotique
Partie
3
Nb partie
3
Application title
Advanced tools for flexible robotics
Keyword
NSERC
Application summary
This project aims to develop intelligent solutions for effective, flexible and adaptive task performance with tools or parts held by a robot using a versatile gripper, thereby leading the way to a new generation of robotic systems. The solutions developed will include the capability to properly grasp or regrasp objects or tools, to determine the feasibility of a given task with a given grasp, to plan regrasping trajectories if required, to adapt to changes in the environment and to effectively perform tasks that may require position, force or hybrid control capabilities. To this end, two new concepts of robotic hands will be developed and built. One of the hands will be designed to manipulate common industrial objects or tools while the other will be based on an anthropomorphic approach. Multi-modal tactile sensing components with extended capabilities will also be developed and integrated into the robotic hands. These sensors will be capable of detecting objects grasped, vibrations induced by contacts with the environment and other stimuli. Signal processing techniques will be developed in order to transform the sensor outputs into high-level information that can be used in a grasping and task performance scenario. For example, the robot will be capable to determine whether a given task can be performed with a tool based on the pose of the grasped tool and to plan regrasping maneuvers if required, thereby greatly improving the flexibility, adaptability and autonomy of robotic manipulators. Also, a force/torque sensor will be developed in order to provide an effective means of determining the external loads and guide the tasks accordingly. Finally, all results will be integrated into functional prototypes that will be used to produce convincing industry-relevant demonstrations of the solutions developed. More flexible and adaptable robots have the potential to rewrite the rules of manufacturing automation by opening new possibilities such as fully automated small series, autonomous agile manufacturing, reliable automatic quality control, and many others. These capabilities are in great need in the Canadian manufacturing industry.