Grant: Research Tools and Instruments
University of Waterloo
$79,154.00
A Wrist Module for the Upgrade of a Light-Weight Robotic Arm
FY 2017-18
Summary
Dexterous manipulation skills are one of the most remarkable features of human behavior. Despite the growing prevalence of automated applications for manufacturing and other activities, current robotic solutions pale by comparison with their human counterparts for complex and unpredictable tasks. In the past few years, the applicant has been concentrating his research effort on advancing dexterous manipulation technologies for robots. The main objective of this RTI application is to seek funding for purchasing the 3 DOF (Degrees-Of-Freedom) wrist module to be added to the existing 4 DOF WAM (Whole Arm Manipulator) arm so that the light-weight robotic arm can be configured as a full 7 DOF manipulator. The requested 3 DOF module represents a crucial upgrade of the existing infrastructure which has been in central use for research projects led by the applicant in recent years through NSERC DG (Discovery Grant), DAS (Discovery Accelerator Supplement) and SPG-P (Strategic Partnership Grant for Project). In order for a robot arm to realize more natural, adaptable and dexterous movements, it is essential to be equipped with a mechanism that is fully compatible with musculoskeletal structure of a human arm which is characterized by the 7 DOF motion coordinated through movements at shoulder, elbow, wrist joints and exclusion scapular motion. The requested 3 DOF wrist also comes with the option of the high-resolution 6 axis force-torque sensor. Such a cutting-edge sensory capability is expected to play a crucial role during the object manipulation tasks where we need to constantly monitor how the target object is interacting with various environments (e.g. a machine assembly for the part in hand to be mated with, a table for the grasped item to be unloaded on, or the human worker who is holding the object together with the robot arm for human-robot collaboration, etc.). The requested equipment can substantially expand the manipulability of the existing robot arm and will take the applicants research on dexterous manipulation to a new level, thereby contributing to the development of advanced sensing and motion control algorithms to replicate the dexterity and adaptability closer to human arms. The upgraded robotic arm will also offer a unique education and training environment for HQP in control, mechatronics, instrumentation and autonomous systems.
Program
Research Tools and Instruments
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RTI-2018-00414
Name nom
Jeon, Soo
Department département
Mechanical Engineering and Mechatronics - Mechanical Engineering and Mechatronic
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2018
Award amount
79154
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1612
Committee name en
Mechanical Engineering (RTI)
Committee name fr
Génie mecanique (OIR)
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
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Partie
1
Nb partie
1
Application title
A Wrist Module for the Upgrade of a Light-Weight Robotic Arm
Keyword
NSERC
Application summary
Dexterous manipulation skills are one of the most remarkable features of human behavior. Despite the growing prevalence of automated applications for manufacturing and other activities, current robotic solutions pale by comparison with their human counterparts for complex and unpredictable tasks. In the past few years, the applicant has been concentrating his research effort on advancing dexterous manipulation technologies for robots. The main objective of this RTI application is to seek funding for purchasing the 3 DOF (Degrees-Of-Freedom) wrist module to be added to the existing 4 DOF WAM (Whole Arm Manipulator) arm so that the light-weight robotic arm can be configured as a full 7 DOF manipulator. The requested 3 DOF module represents a crucial upgrade of the existing infrastructure which has been in central use for research projects led by the applicant in recent years through NSERC DG (Discovery Grant), DAS (Discovery Accelerator Supplement) and SPG-P (Strategic Partnership Grant for Project). In order for a robot arm to realize more natural, adaptable and dexterous movements, it is essential to be equipped with a mechanism that is fully compatible with musculoskeletal structure of a human arm which is characterized by the 7 DOF motion coordinated through movements at shoulder, elbow, wrist joints and exclusion scapular motion. The requested 3 DOF wrist also comes with the option of the high-resolution 6 axis force-torque sensor. Such a cutting-edge sensory capability is expected to play a crucial role during the object manipulation tasks where we need to constantly monitor how the target object is interacting with various environments (e.g. a machine assembly for the part in hand to be mated with, a table for the grasped item to be unloaded on, or the human worker who is holding the object together with the robot arm for human-robot collaboration, etc.). The requested equipment can substantially expand the manipulability of the existing robot arm and will take the applicants research on dexterous manipulation to a new level, thereby contributing to the development of advanced sensing and motion control algorithms to replicate the dexterity and adaptability closer to human arms. The upgraded robotic arm will also offer a unique education and training environment for HQP in control, mechatronics, instrumentation and autonomous systems.