Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Discovery Grants Program - Individual

Toronto Metropolitan University

$59,000.00

Aerial Continuum Manipulation: A New Paradigm for Unmanned Robotic Manipulation in Unstructured Environments

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. UAMs will meet the growing need for aerial manipulation in tasks that are costly, or hazardous, or even impossible for human operators. These platforms can foster advances in various fields such as service, assistance, and teleoperation, e.g., for material handling, inspection and maintenance of infrastructures, construction, search-and-rescue, emergency response, border reconnaissance, precision agriculture, demining, and geophysical research. Despite its substantial market and promises, UAM research has yet to address significant scientific challenges, limiting its current operations to simplified structured environments and, hence, leaving the majority of the related potential markets untapped. For transformational impact, new paradigms need to be established to develop UAMs that can adapt to uncertainties and operate autonomously and safely in unstructured environments. This program builds on our recently introduced aerial continuum manipulation paradigm in which the advantages of continuum manipulators (CMs) are integrated into UAMs to enable aerial physical interactions (APhIs) in uncertain and confined environments. However, many theoretical and practical aspects of aerial continuum manipulators (ACMs) and cooperative ACMs (CACMs) are remaining unexplored. We expect to make significant advancements in the foundations of ACMs through the proposed program objectives that include development and verification of: (1) accurate and efficient dynamic models; (2) robust and efficient vision-based state and interaction wrench estimation approaches; and (3) high-performance vision-based contact control and teleoperation strategies in unstructured and GPS-denied (GPSd) environments, for ACMs/CACMs. The proposed interdisciplinary research is expected to produce numerous cutting-edge, first-in-the-field contributions, including the first dynamic modeling, perception, and control techniques for APhIs of ACMs/CACMs, enabling many improved capabilities for UAMs, such as enhanced dexterity, compliance, robustness and safety of interactions in unstructured, confined, and GPSd environments. This program will lead to new research directions and benefit overlapping research areas in robotics (e.g., continuum robotics and aerial robotics), human-robot interaction, teleoperation, sensor fusion, control, AI, and autonomous systems. Research outcomes will also open up a host of new robotic applications design opportunities, fostering the continued growth of the key Canadian sectors in infrastructure/utilities, aerospace, service, defence/security, agriculture, manufacturing, construction, emergency response, and heavy industries, that could exploit the ACM technology.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2023-05542
Name nom
Janabi-Sharifi, Farrokh
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
59000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Computer vision
Research subject en
Robotique
Research subject fr
Vision artificielle
Application title
Aerial Continuum Manipulation: A New Paradigm for Unmanned Robotic Manipulation in Unstructured Environments
Keyword
autonomous mobile robot; continuum robot; control system; estimation; machine learning; system modeling; teleoperation; unmanned aerial manipulation; unmanned aerial vehicle; visual servoing
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. UAMs will meet the growing need for aerial manipulation in tasks that are costly, or hazardous, or even impossible for human operators. These platforms can foster advances in various fields such as service, assistance, and teleoperation, e.g., for material handling, inspection and maintenance of infrastructures, construction, search-and-rescue, emergency response, border reconnaissance, precision agriculture, demining, and geophysical research. Despite its substantial market and promises, UAM research has yet to address significant scientific challenges, limiting its current operations to simplified structured environments and, hence, leaving the majority of the related potential markets untapped. For transformational impact, new paradigms need to be established to develop UAMs that can adapt to uncertainties and operate autonomously and safely in unstructured environments. This program builds on our recently introduced aerial continuum manipulation paradigm in which the advantages of continuum manipulators (CMs) are integrated into UAMs to enable aerial physical interactions (APhIs) in uncertain and confined environments. However, many theoretical and practical aspects of aerial continuum manipulators (ACMs) and cooperative ACMs (CACMs) are remaining unexplored. We expect to make significant advancements in the foundations of ACMs through the proposed program objectives that include development and verification of: (1) accurate and efficient dynamic models; (2) robust and efficient vision-based state and interaction wrench estimation approaches; and (3) high-performance vision-based contact control and teleoperation strategies in unstructured and GPS-denied (GPSd) environments, for ACMs/CACMs. The proposed interdisciplinary research is expected to produce numerous cutting-edge, first-in-the-field contributions, including the first dynamic modeling, perception, and control techniques for APhIs of ACMs/CACMs, enabling many improved capabilities for UAMs, such as enhanced dexterity, compliance, robustness and safety of interactions in unstructured, confined, and GPSd environments. This program will lead to new research directions and benefit overlapping research areas in robotics (e.g., continuum robotics and aerial robotics), human-robot interaction, teleoperation, sensor fusion, control, AI, and autonomous systems. Research outcomes will also open up a host of new robotic applications design opportunities, fostering the continued growth of the key Canadian sectors in infrastructure/utilities, aerospace, service, defence/security, agriculture, manufacturing, construction, emergency response, and heavy industries, that could exploit the ACM technology.