Grant: Alliance Grants
Toronto Metropolitan University
$25,000.00
Vision-based Compliant Aerial Manipulation for Physical Interactions with the Environment
FY 2023-24
Summary
Unmanned aerial manipulators (UAMs) constitute an emerging technology that combines the versatility and agility of unmanned aerial vehicles (UAVs) with the precision and the dexterity of robotic arms for physical interactions (PhIs) with their environment. UAMs will meet the growing need for autonomous aerial manipulation in tasks that are costly, and/or hazardous, or even impossible for human operators. Despite substantial market and promises, UAM technology remains to be fully developed, limiting its current operation to simplified structured environments and, hence, leaving the majority of the related potential markets untapped. In particular, unmodeled interaction dynamics and uncertainties can readily lead to failure of many previous UAM interaction control techniques.In this program, the applicant will collaborate with the world authority in UAM technology, Dr. Orello, to tackle pending contact control issues. For this purpose, the focus of this research will be placed on the development of compliant UAM structures and control techniques to enable its operation in unstructured environments. The objectives of the program will mainly include development and verification of: a dynamic model; a realistic physics-based simulation platform; and a vision-based contact control technique for hexa-rotor based UAMs equipped with dual soft continuum arms. The outcome of this research will strengthen internationalization of Canadian research and bolster Canada's leadership in aerial robotics. The results could also potentially translate to a wide range of applications that could contribute to the well-being of Canadians and the global competitiveness of its drone industry.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
581434-2023
Name nom
Janabi-Sharifi, Farrokh F
Department département
Mechanical and Industrial Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
25000
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
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
2601
Research subject group en
Robotics
Research subject group fr
Robotic control
Research subject en
Robotique
Research subject fr
Systèmes de commande
Application title
Vision-based Compliant Aerial Manipulation for Physical Interactions with the Environment
Keyword
Contact Control; Interaction; Manipulator; Soft Robot; Unmanned Aerial Vehicle
Application summary
Unmanned aerial manipulators (UAMs) constitute an emerging technology that combines the versatility and agility of unmanned aerial vehicles (UAVs) with the precision and the dexterity of robotic arms for physical interactions (PhIs) with their environment. UAMs will meet the growing need for autonomous aerial manipulation in tasks that are costly, and/or hazardous, or even impossible for human operators. Despite substantial market and promises, UAM technology remains to be fully developed, limiting its current operation to simplified structured environments and, hence, leaving the majority of the related potential markets untapped. In particular, unmodeled interaction dynamics and uncertainties can readily lead to failure of many previous UAM interaction control techniques.In this program, the applicant will collaborate with the world authority in UAM technology, Dr. Orello, to tackle pending contact control issues. For this purpose, the focus of this research will be placed on the development of compliant UAM structures and control techniques to enable its operation in unstructured environments. The objectives of the program will mainly include development and verification of: a dynamic model; a realistic physics-based simulation platform; and a vision-based contact control technique for hexa-rotor based UAMs equipped with dual soft continuum arms. The outcome of this research will strengthen internationalization of Canadian research and bolster Canada's leadership in aerial robotics. The results could also potentially translate to a wide range of applications that could contribute to the well-being of Canadians and the global competitiveness of its drone industry.